Nvidia

We are now looking for a Datacenter Product Engineer! NVIDIA Corporation is a world leader in visual computing technology. The GPU, which the company invented, serves as the visual cortex of modern computers and is at the heart of their products and services. NVIDIA has transformed into a specialized platform company that targets four large markets – Gaming, Professional Visualization, AI Datacenter and Automotive – where visual computing is essential and deeply valued. Their work also uncovers new universes to explore and enable amazing creativity and discovery by powering what was once thought to be science fiction inventions like artificial intelligence and autonomous cars. Collaborating with your peers across various engineering groups, you will successfully launch new systems for NVIDIA HGX and DGX GPU Accelerated Server Platforms to production. These purpose-built systems are optimized for the growing Deep Learning, Artificial Intelligence, and Analytics environments. With world-class technology enabling never-been-seen-before performance levels, NVIDIA’s HGX and DGX portfolio has arguably the most complicated systems platforms ever developed by humans. This product family represents the company’s fastest growing line of business as well as its largest total available market opportunity. You will bring to bear your knowledge of system architectures and GPU technology in order to productize new GPU boards for datacenter architectures with GPU-accelerated clusters. Your responsibilities will include planning and establishing processes, defining test requirements and optimizing the production line to deliver new GPU boards. You will also be instrumental in helping the team to achieve the desired cost and quality metrics considered best-in-class. What you will be doing: Collaborate with NPI teams for smooth production ramp at worldwide manufacturing sites as you continuously find opportunities for potential process improvements and collaborate with multi-functional teams to implement. Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc. Develop and deliver test specs for system level manufacturing screens for all new products to meet the required HW coverage, quality and product requirements for various business units. Collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and throughput. Craft creative solutions and WARs through volume data analysis and lab experimentation to solve challenging yield and test problems seen on the production floor. Lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements. Support customer facing and quality teams during customer escalations to understand the issue and fix gaps identified in coverage. What we need to see: BS or MS degree in EE/CE or equivalent experience. 10+ years of relevant industry experience. Strong EE fundamentals, knowledgeable in statistics, timing analysis, fault analysis, and computer architecture. Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Must be able to work independently with minimal direction and drive projects in an efficient and effective manner. Ways to stand out from the crowd: Prior board/system level electrical design experience. Track record of continuous process improvement with a passion for tools and automation. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you! The base salary range is 156,000 USD - 299,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are hiring a Manager, Technical Product Management - CUDA Inferencing who is passionate about building the Team and product from scratch and taking it to the market. You and your team will help advance NVIDIA's leadership in applying deep learning to tackle real-world problem in Autonomous Vehicle (AV) domain and other such embedded opportunities. We need someone who can understand these business verticals, take ownership of defining the products, drive multiple teams to develop products and take it to the market with the help of marketing teams. If you have the right blend of Leadership, Technical, Marketing, and Management skills this is the role for you. This position will focus on two products to start with, CUDA for Embedded Businesses – AV, Robotics, Medical etc. and NVIDIA Deep Learning Accelerator (NVDLA) for Embedded and further build NVIDIA Inferencing story. You will lead key pieces of NVIDIA's Product portfolio enabling breakthroughs in new programming models and CUDA features for Embedded and CUDA Inferencing. Engage with Top Tier companies, define products and roadmaps, devise marketing positioning, and take your product features to the market. What You Will Be Doing: Strong System Knowledge including Device Drivers, Compiler, Operating Systems, RM, and other system components. Deep understanding of customer requirements and usage models. You will partner with multiple NVIDIA teams working on solving problems across Automotive, and other embedded domains. You will define the roadmap and strategy working closely with Engineering and other Product/Business teams. You will engage with key partners and customers in various embedded domains. Crafting, updating, and presenting marketing collateral, including technical presentations, whitepapers, and case studies. Lead the initiative of proposing and running multiple sessions at GTC globally, also participate and Present at other industry events. Co-Define Go-To-Market Strategy for new product features and planned releases. Exceptional written and verbal communication skills, being able to co-create compelling positioning/messaging strategy and present complex information clearly and concisely. Some to moderate travel may be required for customer visits, trade shows, conferences globally, etc. What we need to see: B.S. or M.S. in Electrical Engineering, Computer Science, or another technical field (or equivalent experience). MBA is preferred. 10+ overall years of proven experience in Product Management or Technical Product Management in the high-tech industry. Additional 5+ years of Manager experience hiring, training and leading a team of Technical Product Managers Experience in handling System Software products and prior experience working as a Software developer on the System side. Additional experience hiring, training and leading a team of Technical Product Managers. Prior experience coding in C/C++, Compiler knowledge, or any other system side components like RM, Kernel, etc. Prior Software development experience is a must-have. You should have strong leadership skills, multifaceted communication abilities, a creative and collaborative attitude. You should be ready to take ownership and lead the Product features with passion and not shy from having difficult conversations in the interest of product needs. Ability to influence and work with an elite team of software engineers. High attention to detail and shown the ability to lead multiple priorities with minimal direction. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking , dedicated and hard-working people in the world working for us. If you passionate about what you do, creative and autonomous, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. The base salary range is 204,000 USD - 379,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Chip NPI Business Planner, who is a driven individual that can excel in a fast-paced and dynamic environment based in the Hsinchu Office. Part of the Silicon Operation team, the Hsinchu NPI planning team has always been entrusted to lead all production teams to meet all the key production milestones of NVIDIA's new chip products. What you’ll be doing: Act as a link between our NPI program managers and other NVIDIA functional planners to craft an optimized production schedule for our new devices. Monitor the WIP status daily to ensure the production schedule gets executed as planned. Clarify and get alignment with owners on issues related to specs, business process, and data variance vital to executing the chip supply plan. Host weekly status meetings with management and cross functional teams to highlight the overall health all the active new chip products. Partner with all stake holders on how to best enable the contract manufacturers to successfully carry out complex engineering experiments and fulfill the dynamic engineering unit demand. It's NVIDIA's culture to keep striving for continuous improvement. After the conclusion of each NPI product, you will collaborate with all the project team members to identify the lessons learned and to formulate corresponding enhancement actions. What we need to see: Years of experience: 4+ years working experience on semiconductor planning field. BA of IE or Planning related or equivalent experience in semiconductor Planning. Good communication, problem-solving, teamwork, detailed oriented, organizational, quantitative skills. Proficiency in business software: MS office, and SAP. Knowledge in Excel VBA, macro, RPA a plus. Language: Fluency in English is required. Personality: Organized, self-starter with a strong sense of ownership is a must. Ways to stand out from the crowd: Consistently demonstrate the determination to tackle real world operational problems. Capable of inspiring team members to do what is best for the company. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are now looking for a Datacenter Product Engineer! NVIDIA Corporation is a world leader in visual computing technology. The GPU, which the company invented, serves as the visual cortex of modern computers and is at the heart of their products and services. NVIDIA has transformed into a specialized platform company that targets four large markets – Gaming, Professional Visualization, Datacenter and Automotive – where visual computing is essential and deeply valued. Their work also uncovers new universes to explore and enable amazing creativity and discovery by powering what was once thought to be science fiction inventions like artificial intelligence and autonomous cars. Collaborating with your peers across various engineering groups, you will successfully launch new systems for NVIDIA HGX GPU Accelerated Server Platforms to production. These purpose-built systems are optimized for the growing Deep Learning, Artificial Intelligence, and Analytics environments. With world-class technology enabling never-been-seen-before performance levels, NVIDIA’s HGX portfolio is arguably the most complicated systems platform ever developed by humans. This product family represents the company’s fastest growing line of business as well as its largest total available market opportunity. You will bring to bear your knowledge of system architectures and GPU technology in order to productize new GPU boards for datacenter architectures with GPU-accelerated clusters. Your responsibilities will include planning and establishing processes, defining test requirements and optimizing the production line to deliver new GPU boards. You will also be instrumental in helping the team to achieve the desired cost and quality metrics considered best-in-class. What you will be doing: Working at a partner managed facility, help analyze and debug complex problems. Use your knowledge of system power-up and handshakes during boot to debug complex interactions between HW, FW and SW on faulty boards Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc. Develop and deliver test specs for system level manufacturing screens for all new products to meet the required HW coverage, quality and product requirements for various business units. Collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and throughput. Craft creative solutions and WARs through volume data analysis and lab experimentation to solve challenging yield and test problems seen on the production floor. Lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements. Support customer facing and quality teams during customer escalations to understand the issue and fix gaps identified in coverage. What we need to see: BS or MS degree in EE/CE or equivalent experience. 10+ years of meaningful industry experience. Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture. Ways to stand out from the crowd: Prior board/system level electrical design experience. Experience in managing Failure Analysis activities Experience with Perl, C/C++, Windows, and Linux. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear from you!

NVIDIA is looking for a Solutions Architect or Data Scientist to work with our largest global alliance partners to enable them with our portfolio of GPU Accelerated Computing solutions i.e. Machine Learning and Deep Learning, specifically Generative AI and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, hard-working, and creative individual who has the skills and aim to work in a fast evolving technological environment that is always on the cutting edge of AI and Accelerated Computing. This individual is self driven, excellent in communication and partnership, stays on top of tasks, mission focused and outcome oriented. Duties will include being a technical data science and accelerated computing platform advisor to our largest global alliance partners. This includes architecting and creating prototypes, building, pre-training, fine-tuning and p-tuning LLMs, and finding the best deployment scenarios for customers. What you'll be doing: Creating or running Proof of Concept and Demos that require presentation skills, explanation of complex topics, writing Python code to execute data pipelines and train ML/DL models and deploy on container based orchestrators.A considerable part of the day-to-day job is keeping up to date on the state of the art in the production Deep Learning and Machine Learning ecosystem. You'll be called on to help architect and scale high-performance, distributed AI deployments that are built on the latest NVIDIA GPU supercomputers.Document what you know, and guide others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to work through challenging problems with a partner on a whiteboard.Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their mission-critical projects. You will help them build their GPU enabled Accelerated Compute datacenters and get the most out of their investment.We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our partners successful. Above all, you will be the person that our alliance partners call on when they need to get technical in crafting AI solutions for customers using NVIDIA technology. Backed up by the other Solution Architects, NVIDIA Engineering, and the whole of NVIDIA, you'll get to be the face and brains of NVIDIA that our partners will be relying on. What we need to see: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU and CUDA experience extremely helpful.Experience working with DevOps, including but not limited to Docker/Containers, Kubernetes, and Data Center deployments.Deep understanding of dense datacenter design including compute, storage, and networking.Ability to multitask effectively in a dynamic environment.Strong analytical and problem-solving skills.Clear written and oral communication skills with the ability to effectively collaborate with management and engineering.Have a strong desire to share knowledge with clients, partners and co-workers. Ways to stand out from the crowd: Extensive knowledge and hands-on experience with recent advancements in LLMs and GenAI.Experience developing with ML/DL frameworks and MLOps ecosystem of partners and solutions in the cloud and on-premBackground with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniquesExperience or good knowledge of server architectures, PCIe topologies, Infinibadand and other networking technologies and Operating systemsHave a willingness and ability to dig into unfamiliar territories to tackle complex problems and be a great listener. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science applications to work with our Hyperscalers partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest breakthroughs in artificial intelligence. We need individuals who can enable customer and partner productivity. Our goal is to develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain alignment in a fast paced and constantly evolving field. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA, our Hyperscaler partners and our end-customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of challenges and solutions. What You’ll Be Doing: Develop and demonstrate solutions based on Hyperscalers and NVIDIA’s pioneering GenAI software and hardware technologies to developers Work directly with key customers and our Hyperscalers partners to understand their challenges and provide the best solutions based on NVIDIA products Perform in-depth analysis and optimization to ensure the best performance on GPU-accelerated systems using NVIDIA software platform. This includes support in optimization of both training and inference pipelines Partner with Engineering, Product and Sales teams to understand developer’s challenges and plan for the best suitable solutions. Enable development and growth of product features through customer feedback and proof-of-concept evaluations Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures What We Need to See: MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team) Excellent ability to listen, both verbal and written communication skills, and being comfortable with presenting technical solutions in English Expertise in deploying large-scale training and inferencing pipeline on Hyperscaler’s infrastructure You are a self-starter with interest in growth, passion for continuous learning and sharing findings across the team Ways to Stand Out from The Crowd: Experience running and optimizing large scale distributed DL training Expertise in optimizing inference pipeline, using a range of inferencing technics (e.g., understanding of model compression techniques, model compilation or model serving) Background with working with larger transformer-based architectures Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc. Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience

NVIDIA is seeking passionate, highly motivated, and creative ASIC Verification Engineers to be part of its Graphics team working on the design of state of the art memory subsystem components used in their industry-leading Graphics Processors and Tegra SOCs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have created a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will be expected to plan and implement IP/Cluster/SOC functional verification of designs that constitute our Graphics Processors and Tegra SOCs. You would work on creating regression plans for code as well as functional coverage closure. You would perform pre-silicon validation activities such as XPROP simulations and GLS. What you’ll be doing: Own ASIC verification of IP/Cluster for complicated designs in RTL. Work with HW architects and designers to make the right implementation choices. Interact with the Performance verification teams to augment verification through dynamic simulations and/or Formal verification techniques. You will work with the specifications and ensure functional and code coverage of all the RTL which you will verify. Partner with and enable FPGA and S/W teams to ensure that S/W is tested. Be involved with post-silicon verification and debug. What we need to see: BS / MS or equivalent experience. 2+ years of design experience. Experience in ASIC verification of complex design units for at least one or two projects. Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB). Exposure to System Verilog and UVM based methodology for ASIC verification is highly desired. Ways to stand out from the crowd: Knowledge of Memory controllers or prior experience with verification of IP/clusters involving access to Memory. Good debugging and problem solving skills. Scripting knowledge (Python/Perl/shell). Good interpersonal skills and ability & desire to work as a part of a team. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. NVIDIA is looking for a creative HPC software architect to lead the shaping of future high performance computing and networks. We research, develop, and deploy solutions in the networking hardware, programming environments, and system software to make future high-end computer systems more performant, scalable, and more usable. Come join the team and see how you can make a lasting impact on the world. What you will be doing: Creating proof-of-concepts to evaluate and motivate extensions in programming models (MPI, OpenSHMEM, PGAS), new designs in runtimes, and new features in the network hardware. Research, design and implement features for HPC communication middleware (Open MPI, UCX, UCC), and Deep Learning frameworks such as TensorFlow/PyTorch. Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM. Research, design and develop hardware features relevant for scientific, Deep learning, and data-intensive workloads. What we need to see: Ph.D., in computer science, computer engineering, or a closely related field (or equivalent experience). 2+ years of experience in parallel programming models, and/or network architecture. Strong programming and software development skills, minimum 4 years of programming experience is required Background in algorithm design, system programming, and computer architecture. Strong programming and software development skills. Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: Deep understanding of technology and passionate about what you do. Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment. Previous experience in ONE or more of the following areas: Experience designing communication middleware for high-performance computing systems, including InfiniBand, DPUs, Ethernet, and Shared Memory; Background with implementing communications libraries, particularly MPI, OpenSHMEM, or PGAS; Programming models for emerging architectures including hierarchical heterogeneous memory systems and accelerators. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

NVIDIA is now looking for a Senior Field Applications Engineer! NVIDIA’s deep learning platforms have already made a major impact on the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the industry. NVIDIA is searching for an extraordinary FAE with a focus on system design for AI computing. Your primary responsibilities will be the customer technical engagement for NVIDIA GPU products for computing systems targeted at a wide range of deployments from the datacenter to the edge. You will be working cross-functionally with our organizations as well as ensuring a positive experience for external customers. What you’ll be doing: Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to secure design wins. Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts. Identify customer architectures and key product requirements in the OEM market. Provide onsite support to solve problems in hardware and software, and deep learning inference. Lead the support of the product through the design-in phase all the way to the product end of life. Create technical solutions such as hardware & software demos and example system designs. Provide technical and sales training to the direct sales team and channel partners. Establish strong relationships and communication channels with internal teams. What we need to see: BS or MS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience. 5+ years of related experience in a high-tech electronics industry in a system design role or technical customer support role. Hardware design experience involving schematics, layout, power, thermal and mechanical design. Capable of working in a constantly evolving environment without losing focus. Drive technical issues across multiple cross functional teams. Ability to multitask effectively in a dynamic environment. Strong analytical and problem-solving skills. Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects. Excellent written and oral communication skills in English with the ability to effectively collaborate with management and engineering. Ways to stand out from the crowd: ARM and NVIDIA GPU and DPU development C/C++ and Python programming skills. Embedded Linux System, APIs and similar embedded OS knowledge. Experience working with OEMs in the industrial, military, and cloud computing space. Technical Expertise: Hands-on experience in hardware design, platform setup, and application profiling. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 128,000 USD - 201,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a Senior HPC Engineer to join its Professional Services team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI/HPC projects. These efforts include a combination of networking, system design and automation and validation. What you will be doing: Primary responsibilities will include deploying, managing, and validating AI/HPC infrastructure in linux-based environments for new and existing customers. Be the domain expert with customers during planning calls through implementation. Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world! Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: 5+ years providing in-depth support and deployment services; solving problems for hardware and software products. Knowledge and experience with linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). Cluster management technologies (bonus credit for BCM (Base Command Manager)). Minimum of a four-year degree from an accredited university or college in Computer Science, or Electrical or Computer Engineering or equivalent experience. Scripting proficiency (Bash, Python, Ansible, etc.). Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise. Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. Experience with schedulers such as SLURM, LSF, UGE, etc. A willingness to travel to customer sites within the United States. Automation tooling background (Ansible, Puppet, etc.). Experience with benchmarking tools such as HPL, NCCL tests, MLPERF. Kubernetes experience. Ways to stand out from crowd: InfiniBand experience. Experience with GPU (Graphics Processing Unit) focused hardware/software. Experience with MPI (Message Passing Interface). Storage technologies such as Lustre or GPFS. Familiarity with Dell and Supermicro GPU platforms NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 116,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large scale HPC and AI hybrid computing solutions to join our team at NVIDIA. As Solution Architects on the NVIDIA Partner Network team, we are actively helping NVIDIA DGX and DGX SuperPOD solutions bring the benefits of large scale AI to customers through our partners. We work closely with customers and partners to address unsolved problems in the industry and help to deploy and operationalize AI solutions at scale. What you'll be doing: Our day-to-day work involves guiding partners in their adoption of end-to-end Machine Learning and Deep Learning solutions, using NVIDIA's compute, networking, and software stacks. Don't think this is a high-level slideshow job - we are the voice of experience, using Kubernetes, SaaS, infrastructure-as-code tools, network debugging, and problem solving skills to help build modern AI factories. We also excel at sharing knowledge with others, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that! What we need to see: Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science, or a related field or equivalent experience. Established track record working with AI and HPC clusters, both on-premises and cloud based. 12+ years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible. Hands-on experience with network, storage, cluster configuration and debugging. Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. Ability to multitask efficiently in a dynamic environment. Ways to stand out from the crowd: Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities. Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions. Exhibit hands on experience with NVIDIA AI Enterprise, Base Command Manager and NEMO cloud native framework. Willingness and ability to learn quickly and solve advanced problems. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 220,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Are you a person who loves to work in a dynamic organization and flourishes with delighting customers with an amazing sales experience? We are now looking for a Senior Account Manager focused on Walmart and Sam's Club. At NVIDIA, we are seeking a high-energy and experienced professional with a proven track record of leading executive relationships and delivering customer outcomes. This full-time position requires close working relationships with NVIDIA solution architects, product marketing, developer relations and our external partner ecosystem to drive revenue for the company. This role requires a strong knowledge of the enterprise business landscape. This person should have the ability to shift easily from working with senior level executives and strategic decision makers to category managers and buyers both inside and outside the company. What you'll be doing: You will be responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training and education to a select number of enterprise customers. Be the key point of contact and relationship ownerBuild Walmart and Sam's into strategic partners, driving sustained revenue and market share growthWork closely with partners, OEMs, and ecosystem partners to build and execute go-to-market plans to accelerate growth and adoption of the enterprise product familyBuilding winning capabilities and leading changeContributing to the long term success of the NALA Enterprise by being a collaborative leader amongst your peers. Consistently striving to improve and reinvent yourself.Evangelize the use of NVIDIA's platform, products and technologies to your customers and partnersAbility to travel as needed What we need to see: BA degree or equivalent experience15+ years’ experience selling solutions to senior executives A real passion for getting things done in a dynamic sales and technology environmentDemonstrated track record leading significant revenue and overachieving targets to meet stretch goalsDemonstrated ability to provide thought leadership, think strategically and effectively communicate vision (both written and verbal) and influence cross-functionally Ways to stand out from the crowd: Past Experience In: Analytics, Enterprise Software Sales, AI, GenAI, Machine Learning, Deep Learning and Retail Industry Domain KnowledgeAn MBA or graduate degreeAbility to generate new pipeline on a weekly, monthly, and quarterly basisExcellent communication skills, using simple language to convey complex concepts in a compelling, concise, and creative wayDemonstrated ability to build and lead in a matrix-managed team culture. Collaboration is KEY! NVIDIA is widely considered to be one of the most desirable employers in technology. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The cash compensation range is 220,000 USD - 391,000 USD, with 85% paid through base salary and 15% variable compensation. Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA the world leader in Visual and Accelerated Computing, is seeking an Account Manager for our inside sales organization with a consistent record in selling complex technology solutions to our customers. This role would ideally be based in Dubai, UAE. This full-time position requires close working relationships with NVIDIA solution architects and business development leaders to drive revenue for the company. If you have a passion for how technology is driving multifaceted changes in exciting segments like Artificial Intelligence, Deep Learning, Cloud and Sophisticated Software Development, we'd like to talk with you. What you'll be doing: Attain a minimum of 100% Quota attainment selling to Enterprise Accounts Maintain and submit accurate forecasts Qualify new opportunities, present NVIDIA solutions, overcome objections, negotiate and close business over the phone & TEAMS Team with NVIDIA Channel, Field Sales & Marketing to build your business and facilitate sales opportunities Build direct relationships with customers and work closely with channel partners to grow sales within your territory Lead all aspects of the selling cycle to help customers expand revenue Develop excellent strategic relationships with customers to understand their software and computing needs Have an understanding and clear delivery of NVIDIA value proposition, key features, product messages, and positioning What we need to see: 5+ years of inside sales experience 5+ years of technology quota carrying sales experience responsible for the full sales cycle (prospecting, customer presentation/demos, negotiating, and closing the sale) Fluency in English and Arabic, French is an advantage. Proven success in rolling up a forecast to sales leadership Experience with going to market and teaming with Technology Industry Channel Partners Excellent communication (interpersonal and presentation) and closing skills, and have successfully applied these in an inside sales environment Exceptional customer and channel partner relationship skills Skilled at selling in a Cloud environment including working with CSP, ISV, and end-user customer Bachelor’s degree or equivalent experience Salesforce.com experience is required Light travel requirements (approximately 5%) Ways to stand out from the crowd: Adept at balancing intense short-term pressures with overall long-term goals Excellent listening skills and ability to persuade -- using communication that convey concepts in a creative way A love for technology and how it can impact businesses Passionate for sales and building positive relationships with customers and channel partners Understanding of data science workflows, modern machine learning and AI trends. Any additional European languages would be a benefit. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior CAD Tools Development Engineer NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. As part of the CAD team our engineers develop and support tools for all of NVIDIA's semiconductor products. In addition, our team also develop in-house tools in the area of Design for Test (DFT) and Design for Power (DFP) using C++, Python, and TCL. We are a diverse team needing someone who is not afraid of a challenge. If this is you, come join us today. What you’ll be doing: Develop CAD software for highly automated and customizable design flows using software engineering with modular design and object oriented techniques. Work closely with our diverse team members on flows to provide DFT, and DFP methodologies for industry-leading chip designs Work with DFT Methodology, Implementation and design teams with important DFT and power tools development tasks What we need to see: Master degree of Computer Engineering/Computer Science/Electrical Engineering or equivalent experience Proficient in C++ and Python Good understanding of algorithms Familiar with Perl/TCL is a plus. Ways to stand out from the crowd: Love coding Strong English communication. Experiences in CAD software developments Understanding of Verilog and ASIC design principles, including knowledge of logic cells. Understanding of Design for Testing including Scan/ATPG/BIST/JTAG

Senior 3D Artist - NVIDIA's Lightspeed Studios About NVIDIA's Lightspeed Studios: Lightspeed Studios exists where creativity and technology converge, redefining the limits of interactive experiences. As a part of NVIDIA, we are driven by innovation and seek a skilled Senior 3D Artist to craft the future of visual storytelling. Position Overview: We're looking for an experienced Senior 3D Artist with a proven track record and a deep understanding of real-time environments. You'll play a vital role in developing superior 3D assets and experiences that excel in both artistic vision and technical performance. What you’ll be doing: Design and Optimize: Create intricate 3D models using industry-standard software (Max, Maya, Blender) and optimize them for seamless performance. Master Texture Creation: Excel in texturing, demonstrating mastery of Substance Painter to produce realistic and visually stunning textures. Ensure Real-Time Excellence: Collaborate with technical teams to integrate 3D assets into real-time engines, emphasizing expertise in Unreal 5. Collaborate and Improve: Work dynamically with fellow artists, designers, and engineers to establish a cohesive visual direction and incorporate constructive feedback. Assure High Standards: Maintain technical and quality standards across all assets. Lead and Inspire: Mentor junior artists, fostering their growth and ensuring team-wide consistency. What we need to see​: Minimum of 5 years of professional 3D art experience in the gaming or related industries. Impressive portfolio demonstrating exceptional 3D modeling and superior texturing abilities. Expert-level proficiency in Max, Maya, or Blender. Strong Unreal 5 knowledge is highly valued. Mastery of Substance Painter. Proven experience optimizing assets for real-time environments. Track record of contributions to shipped game titles is a major advantage. Ability to communicate complex concepts effectively. Passionate about the gaming industry and up-to-date on the latest trends and innovations.

NVIDIA Networking division is looking for an excellent System Product Engineer! NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. What you'll be doing: Yield analysis monitoring and continues improvement for NPI and mass production lines. Troubleshooting and full root cause analysis for production matters. Maintain products’ quality by improving test stability, coverage, design and manufacturing process. What we need to see: B.Sc. in Electrical Engineering . 4+ years of experience. Experience in product engineering, failure analysis/debug or HW/test design. Hands-on HW debug experience. Strong problem-solving ability. Excellent interpersonal and communication skills in English Ways to stand out from the crowd: Experience with data/yield analysis. Background with test design and HW lab equipment. Experience working with a manufacturing environment. Basic programming knowledge (C, Perl, Python) in Linux environment. NVIDIA has some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by extraordinary technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. We are looking for a Business Development manager who is passionate about defining the FSI growth opportunities, crafting customer value and implementing partnership strategies with an objective to build new markets, develop NVIDIA technology solution offerings and achieve market leadership. What you’ll be doing: Engage FSI industry customers to develop a deep understanding of their goals, strategies, and technical and business needs – and help to define and deliver high-value solutions that meet these needs. Quantify the market opportunity, craft a strategy, define initiatives and outcomes, and orchestrate resources to achieve those outcomes. You must have the ability to analyze and segment market opportunities and develop strategic business plans around them. Strategically partner with lighthouse customers and industry-specific application and other solution partners targeting our computing platform. Be main central point for FSI ecosystem connection of influencers, system integrators, solution providers, start-ups, growth companies, and enterprises. Lead a virtual team of technical, business, and marketing resources across NVIDIA and our business partners to drive mutual success. Partner with geography sales teams to drive demand of our platform. You will need to codify the customer value proposition and define the core sales and marketing tools, and training. Build partner and customer references and case studies. Watch for and develop emerging use cases to help cultivate new vertical opportunities. What we need to see: Bachelor’s degree or equivalent experience from a leading University, Master’s/MBA. 10+ years or meaningful work experience. Deep knowledge and extensive experience of FSI industry business development and driving adoption and growth of a technology-based solutions. Leverage success to foster community marketing & business development. Communicate and execute success stories working with campaign, corporate, & partner marketing teams. Attend FSI industry events to represent NVIDIA and recruit and engage the ecosystem. Strong account management and partnership experience and skills. Excellent written, verbal and presentation communication skills are a crucial requirement. Candidates must work comfortably across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers. Strong understanding of FSI applications, datacenter servers, cloud services, and embedded and in-store devices. Ways to stand out from the crowd: Passion for ecosystem development. Machine learning, data analytics, and artificial intelligence experience preferred. Innovative and creative flair, yet able to follow operational process discipline. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is looking for a Senior HPC Engineer to join its Professional Services team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyse, define and implement large scale AI/HPC projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer. What you will be doing: Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with customers during planning calls through implementation. Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world! Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience. 4+ years providing in-depth support and deployment services, solving problems for hardware and software products. Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking (tuning and monitoring). Cluster management technologies. Scripting proficiency. Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise. Excellent verbal and written English skills. Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. Industry-standard Linux certifications. Experience with Schedulers such as SLURM, LSF, UGE, etc. Ways to stand out from crowd: InfiniBand or Ethernet Experience. Experience with GPU-focused hardware/software. Experience with MPI. Automation tooling background (Ansible, Salt, Puppet etc.). NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous manager who loves a challenge? Are you ready to become the staff member you always wanted to be? Come and be part of the best SW design team in the industry! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Large language models are helping understand the language of biology and chemistry and fundamentally changing how drugs are discovered and developed. To advance these efforts we are looking for a Senior Solutions Architect to work with life sciences customers in North America focused on accelerated drug discovery. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and software. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and are used across leading pharmaceutical companies, device manufacturers, academic medical centers, and start-ups. We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in the revolution that is happening in AI-powered drug discovery. This role requires becoming a trusted technical advisor and leader to our customers in pharma and biotech who believe that accelerated computing and artificial intelligence is a new computing revolution and has the potential to transform the entire healthcare domain. Your duties will vary from inventing proof-of-concept demonstrations, to driving relationships with key executives and managers to promote accelerated computing. What you will be doing: You will partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and help define and deliver high-value solutions meeting these needs. Staying up on the state of the art in the production deep learning and machine learning ecosystem. You will be called on to help architect and scale high-performance, distributed, AI deployments that are built on the latest NVIDIA GPU supercomputers. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience across a range of technical areas. Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard. Be an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as medical imaging or drug discovery. Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful. What we need to see: MS or PhD (or equivalent experience) in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains. 5+ years of work-related experience in software development of deep learning methods for scientific applications. Proven experience with Deep Learning software architecture and frameworks and application to scientific questions. Full-stack scientific computing experience including software development in scientific programming languages, such as C/C++, Python, and/or CUDA. Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments. Background in molecular modeling and life sciences. Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the cutting-edge of the domain Ways to stand out from the crowd: Demonstrated work in Deep-learning-at-scale, cheminformatics, bioinformatics, drug discovery. Experience with molecular dynamics, docking, electronic structure methods, or major projects related to drug discovery are a plus Experience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain. Background with accelerating scientific algorithms using parallel programming, e.g., using CUDA, OpenCL, or OpenACC. Experience with distributed programming models for supercomputing applications, e.g., MPI. Published record of thought leadership in a technical area or industry segment. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you! The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s driven by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work. See how you can make a lasting impact on the world. What you'll be doing: Our PDE team owns developing and driving the manufacturing process for new datacenter printed circuit boards and CPU/GPU based sub-assemblies. Manufacturing test and diagnostics SW is a major focus in our test strategy. Early engagement with HW/FW/SW engineering teams, contract manufacturers, joint development partners, and other operations groups (such as procurement) to implement DFM requirements, optimize cost and build end-to-end solutions that will avoid manufacturing problems. Participation in mfg. process planning, scheduling, and cost optimization Work closely with factory personnel and engineering teams during prototype/validation builds, driving solutions to day-to-day problems, collecting metrics and reporting status. Work with operations teams to define and implement process improvements, often based on data collection and analysis. What we need to see: 10 years proven experience in design and manufacturing of PCB's and/or servers Excellent electronics systems debug and problem solving skills BS/MS (or equivalent experience) in Electrical Engineering or related subject area FPGA implementation expertise, including security protocols and high speed signaling issues Familiar with power system design for large electronic systems Knowledge of standard PCB assembly and test technologies such as SMT, ICT, robotics, quality standards, etc Excellent collaboration skills, working with global, matrixed teams Familiar with diagnostics/test software as used in a factory setting Motivated to continually improve/optimize processes Knowledge of CPU, GPU, PCIe, HBM architectures Ways to stand out from the crowd: Operations research and or statistics education and/or experience Python programming expertise Hands-on experience working in an electronics factory Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ The base salary range is 156,000 USD - 299,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by phenomenal technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking an outstanding candidate for our HTOL lab who understand the device circuitry, design HTOL board and able to run htol process using next generation oven while ensuring world class reliability. What you will be doing: You able to operate HTOL oven, make run program, edit and implement. Have the ability to read and make of Burning board schematic design. Knowledge of signal integrity and accurate use of capacitor on the board. Vector conversion, trouble shooting of HTOL board, burning system as well when required. Socket selection, heat sink simulation and discussion with vendor to overcome any issue. Working closely with Lab technician and different engineering group. Maintain and improve reliability database. Continuous improvement of thermal interface material with the vendor. BIB and system Improvement method. We encourage knowledge of applying Tsense in controlling device temperature instead of Tdiode. Knowledge of dual or multi die configuration with related design and effective thermal control. Collaborate with multi-functional teams to debug and resolve any HW/SW product issues. What we need to see: You have a firm technical background in reliability htol stress test. Knowledge of other reliability environmental stress test (Tc, reflow, Thermal shock, hast) is a plus. Familiar with MCC HTOL Chamber operation is a double plus. We strongly expect equipped with Knowledge of using oscilloscope, HTOL Oven maintenance including mechanical repair of Blower Motor pulley, refrigeration system and little soldering wires. We recommend understanding of device thermal control during HTOL environments and Toggle coverage associated with running different vector. Vector debug and write short script an excellent ability. Excellent teammate with good communication and analytical skills. Strong problem solving and debugging skills. MS/EE or BS/EE/ME, or a related major (or equivalent experience). 5+ years of overall experience in semiconductor HTOL bib design and operation. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous, with a genuine passion for technology? We want to hear from you. The base salary range is 108,000 USD - 172,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Video Architect! NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our team and see how you can make a lasting impact on the world! NVIDIA is seeking a passionate and experienced engineer for our video IP team to develop innovative AI algorithms in the field of video compression/processing. You will work on DL/ML based algorithms and next generation of encoder and decoder HW algorithm/architecture. If you are passionate about the latest deep learning and video compression research and motivated to prototype ground up algorithms with a keen focus on delivering impactful solutions, then this role will be a great fit for you! What you’ll be doing: Research and development into deep learning networks for video compression, video pre/post processing. Video codec algorithm / HW architecture development Modeling of multimedia hardware. What we need to see: Master’s degree or PhD in Electrical Engineering, Computer Science, or equivalent experience. At least 6+ years industry experience in deep learning and/or video compression field. Hands on experience with PyTorch / Tensorflow is must have. Hands on experience with video codecs such as H264 (AVC)/H.265 (HEVC)/AV1 is must have. Excellent C/C++ and Python programming skills. Good communication skills. Ways to stand out from the crowd: Prior experience with the successful delivery of AI features in products. Research/development experience into video compression standards (H.264/HEVC/AV1). Experience with GPU optimization frameworks, Tensor RT or cuDNN. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and collaborative? Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you! The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. We are seeking an innovative Senior Timing Methodology Engineer to help drive sign-off strategies for the world's leading GPUs and SoCs. This position is a broad opportunity to optimize performance, yield, and reliability through increasingly comprehensive modeling, informative analysis, and automation. This work will influence the entire next generation computing landscape through critical contributions across NVIDIA's many product lines ranging from consumer graphics to self-driving cars and the growing domain of artificial intelligence! We have crafted a team of highly motivated people whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. If you are fascinated by the immense scale of precision, craftsmanship, and artistry required to make billions of transistors function on every die at technology nodes as deep as 5 nm and beyond, this is an ideal role. What You'll Be Doing: Develop and validate flows for PT-STA regression, analysis, QOR metrics for high-speed designs. The focus is on CAD flow development and analysis which is the primary task. Develop flows/recommendations on STA and PNR in deep submicron physical effects aging, self-heating, thermal impact, IR drop etc. Collaborate with technology leads, VLSI physical design, and timing engineers to define and deploy the most sophisticated strategies of signing off timing in design for world-class silicon performance. Develop tools, and methodologies to improve design performance, predictability, and silicon reliability beyond what industry standard tools can offer. Work on various aspects of STA, constraints, timing and power optimization. What We Need To See: MS (or equivalent experience) in Electrical or Computer Engineering with 5 years’ experience in ASIC Design and Timing. Good knowledge of extraction, device physics, STA methodology and EDA tools limitations. Good understanding of mathematics/physics fundamentals of electrical design. Clear understanding of low power design techniques such as multi VT, Clock gating, Power gating, Block Activity Power, and Dynamic Voltage-Frequency Scaling (DVFS), CDC, signal/power integrity, etc. Understanding of 3DIC, stacking, packing, self-heating and its impact on timing/STA closure. Understanding crosstalk, electro-migration, noise, OCV, timing margins. Familiarity with Clocking specs: jitter, IR drop, crosstalk, spice analysis. Understanding of standard cells/memory/IO IP modeling and its usage in the ASIC flow. Hands-on experience in advanced CMOS technologies, design with FinFET technology 5nm/3nm/2nm and beyond. Expertise in coding- TCL, Python. C++ is a plus. Familiarity with industry standard ASIC tools: PT, ICC, Redhawk, Tempus etc. Strong communications skill and good standout colleague With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.. The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

A key part of NVIDIA's strength is our sophisticated development tools and modeling environments that enable our incredible pace of delivering new technology to market. We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high production-quality standards. This software engineering role involves developing high-level chip models, test APIs and trace generation workflows, and analysis tools. As a member of the software development team, you will engineer and improve the core infrastructure for execution, automation, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models. What you’ll be doing: This role will require you to play a critical part in every stage of development of a GPU! Improve the daily workflows of the world’s top chip modelers and designers to help produce the next greatest generation of GPUs. Empower GPU architects to understand application performance today and model competition-destroying performance for tomorrow. Coordinate with architecture and software teams to enable functional and performance testing for the next architecture. What we need to see: Bachelor's or higher degree in Computer Science, Computer Engineering, or related major (or equivalent experience) 5+ years of experience Strong C++ is a must-have capability Aptitude to work across the GPU, driver, and application stacks Some familiarity with a scripting language, such as Python or Perl Excellent interpersonal skills Ability to multi-task Flexibility for working in an evolving environment with different frameworks and requirements Ways to stand out from the crowd: Know-how working on operating system kernels or writing device drivers with strong systems-level debugging skills A knowledge of GPU APIs such as DirectX, CUDA, Vulkan or OpenGL Experience with chip and/or system simulation Deep understanding of systems architecture: CPU, GPU, memory, display, buses, kernel internals would be helpful Advanced programming expertise with full-stack web based visualization technologies to help provide data insights. The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is currently seeking a verification engineer with strong fundamentals of design verification methodology and random test generators for CPU products. This role provides an amazing opportunity to get first-hand experience in NVIDIA's CPU product line and drive test generation technology within NVIDIA for current and future generations of CPUs. NVIDIA has a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Do you want to be part of the team that defines and rives the next generation of CPUs? What you'll be doing: Design and Implement Random test generation tools for NVIDIA CPU roadmap and drive quality initiatives through verification methodology Apply latest SW development practices for random test generation tool development Apply HW architecture knowledge to add and continuously improve features for effectiveness of random stimulus generation Provide high quality documentation and support for tool user community within the team, including training for verification engineers as needed Collaborate with global architecture/design/verification teams for execution and prioritization Drive continuous improvement of workflows/processes What we need to see: 15+ years of work experience in a verification domain and/or SW tool development PhD or Master's or Bachelor's degree in EE/CS or related field, or equivalent experience Strong understanding of SW development standard processes with hands-on programming experience with Object-oriented concepts, tool chain, SW build and debug Knowledge of CPU and System level architecture/microarchitecture for any industry standard architecture, having knowledge of Arm architecture is a big plus. Knowledge of processor design concepts like, pipelines, caches, virtual memory systems, coherency etc. Strong SW and HW debugging skills and familiarity with latest tools and techniques Good interpersonal skills and ability & desire to work as a great teammate across the globally distributed team are a must Ways to stand out from the crowd: Consistent track record of developing and supporting a random test generator Experience on Emulation, FPGA and Silicon platform for tool development and debug With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. The base salary range is 232,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.