Nvidia

NVIDIA is searching for world-class software engineers to join the System Software for CUDA Compute driver team. This team develops and supports NVIDIA's kernel level drivers for supporting CUDA, especially on our AI, Cloud and Data Center product line-ups. This product line-up includes full system products such as the DGX platform, modular components such as MGX and stand-alone GPU boards. At the heart of all these products is the GPU itself, driven by low level embedded processors and drivers at kernel level, where this team lives. We are a very dynamic team with many responsibilities working with sister software teams on developing features for upcoming generations of products, as well as with partners on deploying new products, maintaining existing products, and developing requested improvements. We work with hardware and architecture on the future direction of existing and new features. These responsibilities evolve over time, resulting in a rich engineering experience and career. What you will be doing As a Compute Systems Software Engineer at NVIDIA, you will work on software design for the next generation Compute GPU solutions Designing kernel drivers and embedded software for our Data Center products Developing and maintaining SW technologies targeted at enabling and supporting NVIDIA's GPU hardware on both Linux and Windows based operating systems (current and future) insuring optimum performance and feature set Focusing on cross platform implementation and supporting new HW architectures Including, but not limited to, features such as: clocks, thermal and power, telemetry, device initialization, memory management, performance optimization, device management (and reset) as well as embedded software development This role works closely with other internal worldwide teams around software, hardware, architecture, OEM support What we need to see: B.S. or M.S. in Computer Science, Computer Engineering, or Electrical Engineering or equivalent experience. 2 years "hands on" experience developing low level device drivers, especially for the Linux OS Strong software engineering skills combined with a motivation to solve hard problems are a must. Strong programming skills in C and C++. Detailed knowledge of operating system internals and various device driver models. Low-level operating system knowledge Strong English written and oral communication skills to streamline collaboration with other engineers (worldwide) Self motivated , positive attitude, and ability to thrive in team environment yet also must be able to work independently with minimal direction The base salary range is 120,000 USD - 189,750 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.

We are looking for a Sr Software Technical Program Manager to join NVIDIA’s Compute Software platform team. NVIDIA’s enterprise server platforms have made a major impact to various fields and are universally used across leading CSPs and industry data centers, including the world’s leading research organizations. We need passionate, hard-working, eager to learn with a can-do mindset and creative people to help us take on more of these unique opportunities in data-center solutions. What you will be doing: You will lead technical interactions with NVIDIA internal NPI platform engineering & SW stack teams; collaborating with NVIDIA application engineering teams and NVIDIA compute infrastructure teams. You would help build a strong connection between applications and NPI teams. In this role, you will understand new platforms and help applications with their enablement on the platform, track and report application progress to keep stakeholders fully informed. You will have the opportunity to interact with diverse technical groups, spanning all organizational levels. What we need to see: A good understanding of datacenter modern compute platforms and the challenges associated with them. Understanding of the software stack required to run deep learning applications. Consistent track record to integrate sophisticated datacenter server products and the Software applications. Being thorough and the ability to multitask is important. Experience influencing decisions and leading teams in a matrix environment. Hands on experience with software development, and processes, specifically for system software / firmware development. Working independently and actively with minimal direction from others. Experienced in creatively resolving technical issues and resource challenges. Ability to think strategically and tactically and to build consensus to make programs successful. Strong problem-solving skills, consistently implementing systemic solutions. Being thorough and the ability to multitask is important. Experienced in influencing decisions and leading teams in a matrix environment. Excellent verbal and written communication and technical presentation skills. Bachelor of Science (or above) in Computer Science or Electrical Engineering (or equivalent experience), with 7+ years’ experience in a similar or related role. Ways to stand out from the crowd: Deep understanding of software engineering principles and enterprise system architecture. Previous experience coordinating activities between HW, Firmware and SW application organizations is a plus. Knowledge of GPUs and NICs. Having experience with Agile tools in support of this role 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 autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Deep Learning Enterprise Server Platform team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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 looking for a Senior Software Technical Program Manager to join NVIDIA’s Compute Software platform team. NVIDIA’s enterprise server platforms have made a major impact to various fields and are universally used across leading CSPs and industry data centers, including the world’s largest Internet companies. We need passionate, hard-working, eager to learn with a can-do mindset and creative people to help us take on more of these unique opportunities in data-center solutions. What you will be doing: You will lead technical interactions with key CSP partner’s engineering teams and their ODMs; collaborating with internal NVIDIA engineering teams and help build direct strong connection between internal and external software and firmware teams. In this role you will help align customer’s technical roadmaps, understand their requirements, help with prioritization, track and report the progress to keep partner/customer aligned with NVIDIA. Align internal key team members with various partners and customers. You will have the opportunity to interact with diverse technical groups, spanning all organizational levels. What we need to see: A good understanding of system integration in CSP datacenter environments, challenges, and at-scale deployment exposure. Consistent track record to integrate sophisticated datacenter server products in CSP environments. Being thorough and the ability to multitask is important. Experience influencing decisions and leading teams in a matrix environment. Hands on experience with software development, and processes, specifically for system software / firmware development. Working independently and actively with minimal direction from others. Experienced in creatively resolving technical issues and resource challenges. Ability to think strategically and tactically and to build consensus to make programs successful. Strong problem-solving skills, consistently implementing systemic solutions. Being thorough and the ability to multitask is important. Experienced in influencing decisions and leading teams in a matrix environment. Program Managers with excellent verbal and written communication and technical presentation skills. Bachelor of Science (or higher) in Computer Science or Electrical Engineering (or equivalent experience) 10+ years experience in a similar or related role Ways to stand out from the crowd: Deep understanding of software engineering principles and enterprise system architecture. Previous experience coordinating activities between HW, Firmware and SW organizations is a plus. Knowledge of GPUs and NICs. Having experience with Agile tools in support of this role 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 autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Deep Learning Enterprise Server Platform team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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 looking for a passionate and outstanding IDE software engineer to join the Developer Tools organization at NVIDIA as we enhance our existing suite of developer tools to support new customer use cases for debugging, including new data visualization, parallel language visualization, and AI-assisted code development. What you'll be doing: Architect, design, and implement solutions to integrate new debugger features into existing NVIDIA developer tools products. Collaborate closely with research, libraries, and product teams at NVIDIA to identify debugger features that can effectively improve developer productivity and efficiency. Investigate performance bottlenecks in existing tooling, and architect, design and implement solutions that improve overall tooling performance. Develop solutions to ensure that tooling features work across multiple versions of supported IDEs (Visual Studio, Visual Studio Code, etc.) What we need to see: Bachelor’s in Computer Science, Mathematics, or related engineering fields or equivalent experience. 5+ years of relevant experience. In-depth knowledge of C, C++ and Python programming languages. Strong computer science fundamentals - algorithms and data structures, programming languages, parallel computing, and system software. Experience with version control systems (Git, Perforce, etc.) Excellent communication and interpersonal skills along with the ability to work in a dynamic and distributed team. Ways to stand out from the crowd: Masters or PhD in Computer Science, Mathematics, or related engineering fields. Expert knowledge in GPU architectures and GPU programming. Experience and/or interests in creating developer tools like debuggers and profilers. Experience developing user interfaces for IDEs. Background with Qt. NVIDIA is widely regarded as one of the most innovative technology companies in the industry, and we have some of the most forward-thinking and versatile people in the world. Are you creative and autonomous? Do you love a challenge and make a difference? If so, 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.

We are looking for a Senior Technical Program Manager (TPM) to join NVIDIA’s Server Engineering Operations Team. You will be the cross-section between execution and strategy, driving impactful programs and delivering measurable results across many functions of R&D Engineering Operations. NVIDIA’s enterprise server platforms have made a major impact to various fields and are universally used across leading CSPs and industry datacenters, including the world’s largest Internet companies. We need passionate, hard-working, with a can-do attitude and creative people to help us take on more of these unique opportunities in data-center solutions. What you will be doing: The Technical Program Manager will have strong skills and experience in program management and engineering operations. The Technical Program Manager is encouraged to be an analytical, meticulous, effective communicator. We expect you to have the ability to work across multiple engineering teams to understand our product roadmap, as well as limitations we may encounter. Your ability to use historical trends, generate meaningful metrics, and stay tuned into rapid changes in product development plans will play a key role in helping Nvidia succeed by bringing world class enterprise products to market at the speed of light! Lead coordination, planning and execution activities for our Datacenter Server product deployments in internal development data centers. In this role you will develop and lead end-to-end project plans to improve infrastructure stability, observability, and uptime; help define and drive KPIs. Be at the intersection of engineering, operations and lab administration teams helping streamline overall engineering operations. Provide hands-on program management during analysis, design, development, testing, implementation, and post implementation phases. Opportunity to interact with diverse technical groups, spanning all organizational levels. What we need to see: Proven experience and successful record of accomplishment handling sophisticated infrastructure deployments. We need solid Service Management or Engineering Operations experience. 10+ years of experience as a TPM or hands-on leader in a similar collaborative role involving multiple engineering teams, developing enterprise hardware products. Bachelor's degree in a related field, or equivalent experience Experience leading cross-organizational programs, effectively influencing partners and holding them accountable to goals, timelines, and deliverables Analytical and problem-solving experience including experience defining and collecting key metrics across projects We are a matrix organization. We need to see experience communicating effectively across the organization with interpersonal skills, including relationship building and collaboration within a cross-functional team! Ways to stand out from the crowd: Understanding of software engineering principles, enterprise system architecture and parallel computing. Prior experience in hardware or software QA best practices Experience with productivity tools and process automation. Experience with engineering operations tools, triage, and overall methodology NVIDIA is considered 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 autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Deep Learning Enterprise Server Platform team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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 now looking for a Senior Deep Learning Software Engineer, for Algorithmic Model Optimization! Join our team of algorithmic model optimization experts and take part in unlocking the biggest potential for AI with generative models such as large language models (LLM) and diffusion models. As a Senior Deep Learning Software Engineer, you will be at the forefront of pushing the boundaries of these models and enabling their deployment at a larger scale with unmatched efficiency. We are developing an innovative software platform that will not only be utilized internally but also have a significant impact externally by enabling the creation of groundbreaking AI products. This is an exceptional opportunity for passionate software engineers like you, who have a strong background in Deep Learning, to join us in solving the most significant challenges in the field. Your role will be pivotal in our mission to maximize the potential of our rapidly expanding data center deployments. Additionally, you will play a crucial part in adopting a data-driven approach to hardware design and system software development. Collaboration is at the heart of what we do, and you will have the chance to work closely with a diverse range of teams at NVIDIA, including the Applied Deep Learning Research teams, CUDA Kernel and DL Framework development teams, and the Silicon Architecture Team. In this position, you will actively engage with internal stakeholders, users, and members of the open-source community. Your input will be vital in defining and implementing cutting-edge model optimization algorithms. The scope of your work will encompass researching and developing highly efficient search algorithms, defining public APIs, implementation, and various other software engineering tasks. We are seeking individuals who are as enthusiastic as we are about pushing the boundaries of AI and contributing to groundbreaking advancements in the field. If you are passionate about innovation, tackling complex DL problems, and working in a collaborative environment, this is the perfect opportunity for you. Join us, and together, we will shape the future of AI model optimization and its impact on the world. What you’ll be doing:Prototype and develop model optimization methods, and build a most impactful model optimization platform Collaborate with internal and external partners to accelerate the adoption of deep learning model optimization Stay up to date with the latest research and innovations in generative AI and model optimization techniques Analyze and optimize the theoretical and practical performance of DL models generated Publish findings in top AI conferences, and create Intellectual Property What we need to see:Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field. 3+ years of relevant work or research experience in Deep Learning. Excellent software design skills, including debugging, performance analysis, and test design Strong algorithms and programming fundamentals Ability to work independently, define project goals and scope, and run your own development effort Good communication, documentation habits, and interpersonal skills Experience with one or more: Python, C++, performance tuning Ways to stand out from the crowd:Contributions to PyTorch, JAX, or other Machine Learning Frameworks Knowledge of GPU architecture and compilation stack, and capability of understanding and debugging end-to-end performance Familiarity with Nvidia’s deep learning SDK such as TensorRT Strong understanding of deep learning algorithms and solutions Strong understanding of ML model optimization techniques such as quantization, pruning, distillation. Increasingly known as “the AI computing company” and widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Are you creative, motivated, and love a challenge? If so, we want to hear from you! Come, join our model optimization group, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field. 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.

Financial Services sales team is looking for a sales manager to lead sales professionals as they drive revenue and platform adoption! At NVIDIA, we are seeking an experienced sales manager with a validated successful track record of leading in the Financial Services Industry. This full-time position will drive strategy creation, execution, forecasting, and personnel development at a team level. This role requires a strong knowledge of the enterprise business landscape, the financial services industry, and will require development of ecosystem relationships. This role will demand working in a matrixed organization and must have adaptive leadership skills as you will be working in evolving atmosphere. What you'll be doing: You will be leading a vertical team responsible for driving revenue and platform adoption. Lead a team of NVIDIA sales professionals in the Financial Services organization. Grow NVIDIA presence and platform adoption across data science, line of business, and IT organizations Align a team around key accounts building them into strategic partners, and drive sustaining revenue, market share growth and product footprint Work closely with cloud partners, OEMs, and ISV ecosystem partners to build and implement go-to-market plans to accelerate growth and adoption of the enterprise product family Build winning capabilities and leading change Contributing to the long term success of our team by being a collaborative, adaptive leader amongst your peers. Consistently striving to improve and reinvent yourself. Evangelize the use of NVIDIA's accelerated computing platform (inclusive of hardware, software, software development toolkits, and application frameworks) to your customers, prospects, and partners Ability to travel as needed. What we need to see: B.A. or B.S. or equivalent experience. 12+ overall years of demonstrated ability selling solutions to senior executives at named accounts 5+ years of proven management experience A passion for getting things done in a sales and technology environment Strong track record of leading teams toward significant revenue and overachieving targets to meet stretch goals Demonstrated 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: Understanding of data science workflows, modern machine learning and AI trends Excellent skills for understanding new technologies and adept at conveying their value to business executives and software development leaders. Strong executive presence, polish, and political savvy, and track record of successfully growing revenue for new innovative technology based solutions Excellent communication skills and ability to persuade -- using simple communications that convey sophisticated concepts in a compelling, concise, and creative way Specific experience and relationships within the financial services industry. Demonstrated ability to build and lead in a matrix-managed team culture NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent 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 248,000 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 continues to reinvent itself. Our invention of the GPU in 1999 fueled 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 take on, and that matter to the world. Are you passionate about working at the groundbreaking of technology? Make the choice to join us today. Our System Level Product Engineering team works on groundbreaking innovations involving crafting creative solutions for system level diag, verification and post-silicon validation of some of the industry's most complex semiconductor chips. What you'll be doing: Solve complex testing challenges and develop new methodologies for reliable testing of chips at SLT Key responsibilities include characterization, yield enhancement and spec validation. Partner with other engineering groups including ASIC, DFT, ATE, silicon validation, fab process, software and quality teams to coordinate efforts and resolve silicon issues. Initiate and drive process improvements/preventative actions through root cause analysis. The ideal candidate will always look to improve workflows, products, functions and methodologies while working multi-functionally to achieve the company goals. What we need to see: BSEE or MSEE degree (or equivalent experience). 5+ years of relevant product engineering work experience or similar hardware systems background. Self-motivated with strong technical, interpersonal, written/oral communication skills Problem solving experience/ability. Be able to quickly become a strong contributor both as an individual and as a member of highly productive team. Software skills needed for large scale data analysis such as Python. Experience with PC architecture, AGP/PCIe busses and DRAM/DDR is a plus. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most talented people in the world working for us. If you're creative and autonomous, we want to hear from you. You can do your life’s work here! Join us! The base salary range is 128,000 USD - 247,250 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 continues to reinvent itself. Our invention of the GPU in 1999 fueled 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 tackle, that only we can take on, and that matter to the world. Are you passionate about working at the cutting edge of technology? Make the choice to join us today. Our System Level Product Engineering team works on groundbreaking innovations involving crafting creative solutions for system level diag, verification and post-silicon validation of some of the industry's most complex semiconductor chips. What you'll be doing: Develop and improve all aspects of testing NVIDIA's state of the art products. Key responsibilities include characterization, yield enhancement and spec validation. Partner with other engineering groups including ASIC, DFT, ATE, silicon validation, fab process, software and quality teams to coordinate efforts and resolve silicon issues. Initiate and drive process improvements/preventative actions through root cause analysis. The ideal candidate will always look to improve workflows, products, functions and methodologies while working multi-functionally to achieve the company goals. What we need to see: BSEE or MSEE degree (or equivalent experience). 5+ years of relevant product engineering work experience or similar hardware systems background. Self-motivated with strong technical, interpersonal, written/oral communication skills Problem solving experience/ability. Be able to quickly become a strong contributor both as an individual and as a member of highly productive team. Software skills needed for large scale data analysis such as Python. Experience with PC architecture, AGP/PCIe busses and DRAM/DDR is a plus. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most talented people in the world working for us. If you're creative and autonomous, we want to hear from you. You can do your life’s work here! Join us! The base salary range is 128,000 USD - 247,250 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.

At NVIDIA, 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! As a Windows AI Engineer, you will be instrumental in developing inference runtimes, optimizing GenAI pipelines and inference backends, and devising algorithms that flawlessly incorporate AI into games and applications for Windows. This position requires a unique blend of AI knowledge and system software skills, making it an excellent fit for individuals who have a strong desire to shape the future of computing! What You’ll Be Doing: Partnering with NVIDIA software, research, architecture, and product teams, aligning strategies and technical needs for fostering the ecosystem of AI on a Windows RTX PC. Performing in-depth analysis and optimization of AI models, AI frameworks, data processing pipelines, and inference backends to ensure the best performance on current and next-generation GPU architectures. Identifying and implementing compute and memory optimizations across the full AI inference stack on RTX Windows PC. Developing model compression and fine-tuning techniques to reduce resource consumption and improve performance, enabling efficient deployment and better user experience. Designing and implementing an optimized framework for running AI NPCs in gaming applications as part of the NVIDIA ACE Platform. Collaborating with Microsoft to drive advancements in APIs, AI frameworks, and platforms for developing and deploying AI inferencing applications. Ensuring the effective deployment of directed tests through collaboration with the automation team, thereby ensuring the robustness of automated testing. What We Need to See: Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, or a related field (or equivalent experience). 2 years of experience in AI inferencing pipelines and applications using ML/DL frameworks like PyTorch, ONNX Runtime, DirectML preferred. Excellent C++ programming and debugging skills with a strong understanding of data structures and algorithms. Strong analytical and problem-solving abilities, with the capacity to multitask effectively in a dynamic environment. Outstanding written and oral communication skills, enabling effective collaboration with management and engineering teams. Ways To Stand Out From The Crowd: Understanding Machine Learning, Deep Neural Networks, and Generative AI with meaningful contributions to major open-source projects will be a plus. Proficiency in lower-level system/GPU programming, CUDA, and developing high-performance systems. Hands-on experience with building applications using graphics APIs like OpenGL, DirectX, Vulkan, etc. Proven track record of delivering end-to-end products with geographically distributed teams in multinational product companies. 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 120,000 USD - 189,750 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.

NVIDIA's Chip Design group is looking for best-in-class Design/ Verification Engineers to join our outstanding Silicon Engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in designing and verifying our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company. What you’ll be doing: Design/ Verification for chip blocks/entities according to specifications under challenging constraints and with high orientation to performance.Daily work involves acquaintance with all aspects of chip development: Micro- Architecture, Firmware, Production, and Verification.Engage in cutting-edge PCIe generation working on latest PCIe gen7. What we need to see: B.SC./ M.SC. in Computer Engineering/Electrical Engineering/Communication Engineering or equivalent experience.3+ years of experience in Verification/ Design.High Level of English.High motivation to grow and excel. Ways to stand out from the crowd: Knowledge in PCI Express standard.Validated experience in Verification or RTL Frontend ASIC Design (Chip Design).Background in Specman.Background in RTL uArch & coding. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are 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 talent Software Engineer to join our Ethernet Switch SONiC Network OS. At NVIDIA, we have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have NVIDIA Switch products running with SONiC NOS in production in different clusters over the world. About SONiC: https://sonicfoundation.dev/ What you'll be doing: Design and implement features as part of the SONiC release train on top of NVIDIA Switch products. Be part of NVIDIA SONiC R&D team, contribute code to SONiC worldwide community. Work in a Continuous Deployment environment of fast development/deployment cycles. Work with experienced teams which are well known in the SONiC community. What we need to see: B.Sc. degree in Computer Science or equivalent experience 2+ overall years of experience in technical software development Experience in C++ and Python programming on top of Linux operation system Fast and self learner with outstanding communication and technical skills Motivated, responsive, and keen on process improvement Ways to stand out from the crowd: Experienced in software development on open source project Experienced in Networking protocols: L2 and L3 Background in Linux shell scripting Scrum methodology and active scrum master 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. 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 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. What you’ll be doing: Be responsible for executing test cases to validate NVIDIA enterprise offerings, such as NIM/NeMo/BioNeMo. Automate test cases and maintain the automation scripts Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans What we need to see: Currently pursuing a BS or higher degree in CS/EE/CE Fluent oral and written English Comfortable working with Linux OS Good at shell/python programming skills Good QA sense, knowledge, and experience in software testing Great problem-solving skills Good interpersonal skills, quick learner, proactive, innovative, and committed Strongly self-motivated with a passion to learn new hardcore technology Able to work 4 days every week with at least 6 months available Ways to stand out from the crowd: Experience working with NVIDIA GPU hardware is a strong plus Background in parallel programming ideally is a plus Experience with virtualization technologies like Docker, Kubernetes, Openstack 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/ 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 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. What you’ll be doing: Be responsible for executing test cases to validate NVIDIA enterprise offerings, such as NIM/NeMo/BioNeMo. Automate test cases and maintain the automation scripts Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans What we need to see: Currently pursuing a BS or higher degree in CS/EE/CE Fluent oral and written English Comfortable working with Linux OS Good at shell/python programming skills Good QA sense, knowledge, and experience in software testing Great problem-solving skills Good interpersonal skills, quick learner, proactive, innovative, and committed Strongly self-motivated with a passion to learn new hardcore technology Able to work 4 days every week with at least 6 months available Ways to stand out from the crowd: Experience working with NVIDIA GPU hardware is a strong plus Background in parallel programming ideally is a plus Experience with virtualization technologies like Docker, Kubernetes, Openstack 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/ 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 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 amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are looking for a Customer Quality Engineer to join our team leading all aspects of quality for for a range of product segments throughout the life of the product. As part of the Operations Customer Quality Team, your main role will be establishing a working relationship with your customers, collaborating on problem resolutions/complaints, and you will be the voice of the customer to the internal teams. Location: Beijing, China. This is a customer quality technical engineering role that is responsible for providing best-in-class support to NVIDIA's enterprise customers. What you will be doing: You'll be the quality representative for your customer base leading conference calls and F2F meetings with Customers related to quality weekly/monthly. Track Customer quality metrics with regular reporting to the customer and internal management. You'll be the quality representative for your customer(s), leading conference calls and meetings. Track Customer quality metrics with regular reporting to the customer and internal management. In crisis or customer escalation situations, be able to quickly assimilate and understand the critical elements of the issue, provide direction to the working team, comprehend the significance of results from various technical activities, and formulate responses to customers. Craft customer presentations and 8D reports covering statuses of root cause, risk assessments, corrective actions, preventative actions and recovery plans for complaints. Work cross functionally with various internal organizations to resolve product failures. Drive continuous improvement activities to improve the quality of the products. Work with customer engineering teams and NVIDIA Field Application Engineering team on server product test and debug at customer location. Support onsite customer system triage and first level debug for products on the factory line. What we need to see: BS or MS degree from a leading university (or equivalent experience) in electrical engineering, computer science, or related technical discipline. Knowledge and experience in electronics assembly and manufacturing/test processes. 5+ years of experience in electronics customer quality or test engineering role. Excellent English written and oral communication skills. Good interpersonal skills, with a logical approach to problem solving, good time management, and task prioritization skills. Strong leadership skills with experience coordinating teams in multiple disciplines & geographies. Good proficiency using MS Office software tools, data analytical tools, and email communications Ways to stand out from the crowd: Experience with server system hardware and software design, development, architecture, or testing. Electronics/server troubleshooting & debugging capability Hardware and software tool experience for server platforms failure analysis Knowledge of semiconductor manufacturing processes such as Si fab, Package assembly and Final test. Proven history of developing close working relationships with customer quality teams and using structured problem solving to find solutions.