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.

NVIDIA has reshaped computer graphics, PC gaming, and accelerated computing for over 25 years. The invention of the GPU in 1999 propelled the growth of the PC gaming market, redefined computer graphics, and transformed parallel computing. Today, we are harnessing the boundless potential of AI to define the next phase of accelerated computing. GPU deep learning sparked the modern AI revolution, becoming the pivotal driver of intelligent applications in productivity, gaming, and creative sectors, solidifying NVIDIA's position as the foremost "AI computing company." Achieving unprecedented feats demands vision, innovation, and the world's top talent. We are looking for a passionate and exceptional engineer for the Windows AI (WinAI) team. Your role will involve developing inference runtimes, optimizing GenAI pipelines and inference backends, and algorithms for optimizing models to seamlessly integrate AI into games and applications for Windows PCs. The role requires a blend of AI knowledge and system software skills. 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. Perform 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. Identify and implement compute and memory optimizations across the full AI inference stack on RTX Windows PC to ensure the best performance and quality of service. Develop model compression and fine-tuning techniques to reduce resource consumption and improve performance, enabling efficient deployment and better user experience. Design and implement an optimized framework for running AI NPCs in gaming applications as part of the NVIDIA ACE Platform. Collaborate with Microsoft to drive the advancements in APIs, AI frameworks, and platforms for developing and deploying AI inferencing applications. Ensure 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 of modern techniques in Machine Learning, Deep Neural Networks, and Generative AI with relevant 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. Consistent track record of delivering end-to-end products with geographically distributed teams in multinational product companies. 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. The base salary range is 120,000 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.

We are seeking an energetic, hardworking Motion / Trajectory planning and controls software engineer to develop key features for our autonomous driving platform. In this role, you will work on a mix of Trajectory planning, Motion Planning and control problems to build focused software solutions. Through effective collaboration with established teams, you will help design and mature new products all the way through to production. What you'll be doing: Maturing and productizing new features entails a diversity of activities, including: Developing optimization algorithms Modeling desired L2/L3/L4 vehicle behavior and driving modes as an optimal-control problems Designing the overall software architecture for a particular feature or component. Maturing prototype software to production quality. What we need to see: MS or higher in an engineering or technical field (Computer Science, Mathematics, Control, Optimization, Machine Learning, Reinforcement Learning, etc.) or equivalent experience. 8+ years of practical experience. Experience writing software in C++. Your ability to demonstrate strong skills in applied mathematics is crucial. Proficiency with core concepts in linear algebra, differential equations, numerical methods and convex optimization. Comfort with an Agile/Scrum software development environment in Linux using GitLab, JIRA, Gerrit (or similar). Ways to stand out from the crowd: We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following: Experience in working in product development and vehicle test environment. Expertise in developing optimization solvers: linear, quadratic, second-order cone, and fully nonlinear, and their applications in model-predictive control systems for vehicle dynamic models. Experience working with motion planning algorithms (A*, D*, RRTs, etc.) and using ML for planning will be an added advantage. Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles. Intelligent AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun and NVIDIA is leading the drive with revolutionary hardware and software. Come join us at NVIDIA! 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.

We are the Picasso team and are looking for a Principal Engineer to join our burgeoning team and develop our Generative AI solutions. NVIDIA has been redefining accelerated computing and powering the engines of artificial intelligence. We are developing a host of solutions including text-to-image, -video and -3D, that are trained using clean data provided by our industry partners and deployed for fast inference. Come join us in these exciting times and make a sizable difference in the exploding world of Machine Learning! 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, cultivating environment where everyone is inspired to do their life's work. What you will be doing: Study and work on ground breaking image-based Generative AI models. Ensure the best possible performance on current- and next-generation GPU architectures. Architect, design and use your software engineering expertise to optimize, deploy and productize AI models. Develop clean, efficient, well-tested production code. Collaborate closely with Research, Cloud, Architecture and Libraries teams at NVIDIA to deploy inferencing and fine-tuning solutions. What we need to see: Understanding of modern concepts in Deep Neural Networks, Generative AI and Diffusion Models in particular, ideally backed by meaningful contributions to open-source projects. Working knowledge of Docker Containers, REST API, cloud-based Compute and Storage A Bachelors or Masters Degree in an Engineering or Computer Science or related field or equivalent experience 15+ years of relevant work experience. 5+ years in Machine Learning frameworks such as PyTorch, JAX or Tensorflow, ONNX Runtime, and TensorRT Solid understanding of C++, Python and parallel programming Excellent communication and interpersonal skills along with the ability to work in a fast-paced and distributed team. History of mentoring junior engineers and interns is a plus. Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software. The base salary range is 272,000 USD - 419,750 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 is seeking a dynamic and experienced Cybersecurity Director specializing in Zero Trust and Identity & Access Management (IAM) to join our organization. As premier technology company NVIDIA is committed to innovation and excellence! We offer a unique opportunity to lead the implementation and operations of IAM capabilities, ensuring they align seamlessly with our overarching Zero Trust initiative. What You'll be Doing: Leadership & Strategy: Develop and implement the strategic vision for IAM within the organization, aligning it with our Zero Trust architecture. Collaborate and work closely with senior leaders to promote IAM initiatives and encourage the adoption of effective practices. Implementation & Operations: Lead the design, deployment, and management of IAM solutions. Responsible for the day-to-day operations of IAM systems, ensuring their reliability, scalability, and security. Run IAM-related projects from conception through implementation and post-implementation review. Integration & Simplification: Drive the integration of IAM capabilities with existing enterprise security controls. Simplify IAM processes to enhance user experience and compliance without compromising security. Collaborate with IT and multi-functional teams to ensure seamless IAM integration across various platforms and applications. Governance & Compliance: Ensure that IAM practices align with applicable regulatory requirements and internal policies. Develop and implement IAM policies, standards, and procedures. Conduct regular audits and assessments to identify and mitigate IAM risks. Develop and lead an IAM team that demonstrates strong work behaviors, promoting an environment of continuous improvement, innovation, mentorship and professional development opportunities for team members. Stay abreast of the latest trends and technologies in IAM and cybersecurity to guide the team effectively. Engaging with Key Members: Share IAM strategies and initiatives with individuals at all levels of the organization. Work closely with business units to understand their needs and ensure IAM solutions support their goals. Advocate for the importance of IAM in maintaining a robust security posture across the organization. What we need to see: Bachelor’s or Master’s degree in Computer Science, Information Technology, Cybersecurity, or a related field or equivalent experience. 10 or more years of experience in cybersecurity, with a focus on Identity & Access Management. 4+ years of leadership experience. Demonstrated ability in implementing and leading IAM solutions in a large, complex organization. In-depth understanding of Zero Trust principles and how they apply to IAM. Strong leadership and team management skills. Strong social skills and ability to collaborate effectively . Ways to Stand Out from the Crowd: Experience with IAM technologies such as Microsoft, SailPoint, or similar. Familiarity with regulatory frameworks and standards (e.g., GDPR, HIPAA, NIST, ISO 27001). Relevant certifications (e.g., CISSP, CISM, CISA, or similar) Strong analytical and problem-solving skills. Ability to work in a fast-paced, dynamic environment. If you are passionate about cybersecurity and a consistent record in Identity & Access Management, and possess the work behaviors of a transformative leader, we would love to hear from you! Apply now to join NVIDIA and make a significant impact on our cybersecurity initiatives. The base salary range is 264,000 USD - 408,250 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.

We are looking for an experienced Retail Channel Marketing Manager to join our North America Channel Marketing Team in support of our GeForce, AI PC, Studio & SHIELD consumer product lines at leading r/etailers. In this role you will work closely with the Sales & Channel Teams to provide strategic leadership against a portfolio of r/etail partners. The Retail Channel Marketing Manager fills a pivotal role at NVIDIA, working to ensure that retailer specific programs are developed and implemented to achieve both NVIDIA and retail partner objectives. The Retail Channel Marketing Manager uses their expertise to partner with key collaborators to build programs that drive sales of NVIDIA ecosystem products. The Retail Marketing Manager is tightly coordinated within the assigned account team and provides project management expertise to ensure that strategic plans are built and tactics are balanced to complete on time and on budget. The Retail Channel Marketing Manager stays on the groundbreaking of the industry’s technology and business practices, helping to define new and more effective ways to engage consumers and sell NVIDIA products thru the retail channel. What you’ll be doing: Develops promotional plans for assigned retailers, works with Sales team to gain retailer approval, and project balances deliverables to ensure on time and on budget execution. In collaboration with partners, paints a strategic vision of what GeForce/AI PC/Studio/Shield products should be in assigned retailers and drives initiatives that support that vision. Brand presence and promotional activity speaks to each retailer’s core customers, driving sales to achieve NVIDIA’s & retailer’s objectives. Partner in quarterly planning process. Responsible for leading and influencing NVIDIA’s cross-functional teams in support of NVIDIA’s business objectives and assigned retailer’s objectives. Ensures strategic alignment and carries out timelines on projects in assigned retailers to ensure successful and timely execution. Responsible for sell-thru of GeForce/AI PC/Studio/Shield products thru retailer and online locations. Develops and delivers innovative retailer and product-specific recommendations for product placement and promotions. Applies business analytics to measure success of programs and make modifications/recommendations for future programs. Communicates insights to key decision-makers to help shape the future of the business. Subject matter authoritative on the opportunities, challenges and processes for assigned accounts. Establishes and communicates resources specific to assigned accounts for the use of the entire Sales & Marketing organization. Specifically, key retailer contact lists, timelines for specific initiatives, key retailer calendar dates such as events, promos, resets, etc. Maintains constant awareness of the constantly evolving environment and opportunities in assigned retailers. Brings forward innovative ideas for promoting NVIDIA's ecosystem of products. What we need to see: Bachelor's degree in business, marketing, or equivalent experience. 8+ years consumer electronics retail marketing experience with shown history of accomplishment in the areas of channel marketing, marketing management, product marketing, project management, or sales management. Strong customer/partner relationship management skills. Excellent communicator with strong presentation skills. Ability to balance multiple projects simultaneously and self-prioritize workload. Flexibility to update plans on a moment’s notice and adapt in response to the market and changing priorities. Outstanding attention to detail in your own work and others. Thrives on finding solutions to complex problems. Ways to stand out in the crowd: Interpersonal skills; understands roles & responsibilities of the cross-functional team. Influences and fully engages other partners to achieve objectives. Strong collaborator who removes bottlenecks. Experienced in developing and balancing joint and coop funded marketing programs with retailers. Business analysis skills; able to track business/insights and tie back to promotional/marketing tactics. Loves diverse work assignments and enjoys the opportunity to try new approaches and overcome challenges. Knowledge of and passion for consumer electronics and/or PC Gaming industry. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward thinking and committed people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 140,000 USD - 224,250 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 data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are hiring Sr. Software Engineer who will help build simulators for our DGX Server platforms. Simulations play a significant role in building scalable systems at Speed of Light! You will work with world class engineering teams across HW and SW. What you’ll be doing:Contribute to architect and develop simulation platform for next gen NVIDIA DGX platforms. Build, integrate and enhance simulator components with new HW features and write supporting technical documents. Bring full SW stack up on DGX Simulator; work closely with hardware modeling, kernel & platform driver teams distributed globally. Improve performance, fix bugs across user and kernel stack, and automate execution flow. What we need to see:Proficient in C / C++ with strong software development, optimization, user & kernel mode debugging skills. OS fundamentals and system architecture understanding like low-level interfaces such as buses, controllers, interrupts etc. Good understanding of hypervisors & HW emulators, like Qemu, KVM, VDK, SIMICs etc. Working experience on any one major Linux distro like Ubuntu, RedHat, SLES etc. Strong interpersonal & communication skills to work with a globally distributed engineering team. Bachelor’s degree in computer science or related with 5+ years of relevant experience. Ways to stand out from the crowd:Experience in HW & SW stack bring up using Simulators & Emulators etc. Previous experience around hardware interfaces such as PCIe, SPI, I3C etc with Linux boot solutions on x86 & ARM class platforms. Experience in Out of Band and Inband management architectures. Contribution in Qemu/KVM opensource repositories. Experience in Verilog and SystemC 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) based on 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 have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you!

NVIDIA is at the forefront of technology transformation and there is an exponential lab support demand. We are growing in the DOCA team to provide a more robust and deeper hands-on support for our labs. In this position you will provide daily operation support to our R&D engineering activities in the lab. What you'll be doing:Provide lab support in the regionPerform as front-line lab liaison/ambassador with our internal DOCA developers.Solicit lab demand and translate into professional concrete scope of work or the greater IT/Lab/Devops teams in NVIDIA.Document and supervise all assets and solution design.Develop and maintain work processes and procedures for lab support including asset management, improving utilization and more.Support and expand lab monitoring applications, with a solid focus on CI/CD automationWork closely with DevOps teams for collaborative enhancements in HW and SW toolsPhysical racking and stacking of assets in the relevant region.Analyze and resolve critical engineering issues, often under tight timeframe pressures; Off hours and on-call hours are to be encouraged. What we need to see:Bachelor's/Master’s degree in computer science or computer engineering or equivalent experience2+ years work experience as an IT, Lab Operator or DevOps Engineer in a global software development organizationScripting skills, excellent problem-solving and critical thinking abilitiesGood knowledge of Linux, bash, IT troubleshooting, Hardware and Software installationsAbility to self-manage, lead technically, be proactive, and communicate effectively. Ways to stand out from the crowd:Experience with lab tools and automation techniquesMeticulous in detail and strong in documentation, asset tracking, project management, and procedures workflowExperience in Networking and DevOps 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 on the planet 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. 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.

Do you enjoy hacking and tinkering at the lowest levels of software? Are you capable of crafting and implementing creative secure firmware solutions in heavily resource-constrained environments? If so, you’re primed to help develop the boot software that powers the world’s best GPUs. We are searching for an outstanding software engineer to fill an exciting, yet fun role on our GPU Firmware team. You will be joining a team whose primary mission is solving the intricate enigma of securing and innovating the boot process for our GPUs, while working through the formidable constraints of boot-time and storage space. Every. Byte. Counts. This is your chance to create waves in the industry while directly working with and alongside some of the most top-valued diverse set of minds in the business. Your goal will be to shape the future of GPU technologies doing exactly what you enjoy: solving puzzles. If this sounds exciting and you’re up for the task, we’d certainly like to hear from you! What you’ll be doing: Design, develop, test, debug, and optimize creative solutions for GPU firmware throughout the entire GPU lifecycle Work closely with hardware, software, infrastructure, and business teams to transform new firmware features from idea to reality Work with leading OS and PC vendors to improve and innovate on the boot experience Improve team software process and core infrastructure by enhancing build systems and regression farms What we need to see: BE or MTech degree in EE/CS/CE (or equivalent experience) 4+ years' experience in developing device BIOS, firmware, or other low-level software Familiarity with industry standards and specifications such as SPI, I2C, PCIe, UEFI and PLDM Strong C skills Good knowledge on operating systems and computer architecture concepts Even stronger interpersonal skills Sense of humor heavily encouraged, but not required Deep understanding of software process Easy to work with, as you’ll constantly work closely with both hardware designers and other software engineers to design, develop, and debug functional (and non-functional!) aspects of GPU subsystems Ways to stand out from the crowd: Experience in x86/RISCV/ARM assembly and knowledge of the PC/PCIe/UEFI architectures A background with display technologies such as DP, HDMI, and VGA/VESA specs EEPROM/Flash and storage device programming experience Experience with secure development techniques such as threat models, attack-trees, static/dynamic analysis, fuzzing, and negative testing Passion for your work 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 seeking passionate Senior Software Engineer for our Workstation Automated Test Lab team in Würselen, Germany (on-site) to develop and maintain test automation infrastructure along with quality / performance test suites. If you become part of this team, you will be working with state-of-the-art GPUs, top-rated Workstation applications, and collaborating with some of the best software engineers both inside NVIDIA and with our partners around the world. Our automated testing plays a vital role in maintaining the quality and leading performance expected by our customers. If this challenge sounds interesting, then this role may be a great fit for you! The ability to work in a dynamic, solution-centric environment with excellent interpersonal skills is expected to be successful in this role. What you’ll be doing: We are continually developing and evaluating new benchmarks, new test suites, and new API extensions; all of these need proper automated testing. A key part of the job is to analyze, automate and integrate these tests and other industry standard quality and benchmark suites into our existing infrastructure. You will help us find creative ways to script the applications to ensure accuracy, reliability and repeatability. Collaborating with automation and test infrastructure teams across the company to standardize and modernize automation infrastructure (including HW) and test analysis tools is another exciting aspect of the role. A regular stream of new applications, operating systems, CPUs, and GPUs present many opportunities to learn and grow your skills and career. Collaborate with other outstanding NVIDIA engineers to make a difference in the industry! What we need to see: Bachelor’s degree (or equivalent experience) or higher degree in computer science, electrical engineering, or computer engineering, or a technical degree. 7+ years of relevant proven experience in software development including web development with the ability to write high quality, well-tested and well-designed code. Extensive programming experience in Python and its associated libraries, experience in other scripting and general purpose programming languages is a definite plus. Deep understanding of test automation infrastructure, framework and test analysis. Experience working with database management and development. Experience with the Microsoft Windows and Linux operating system environments: administration and development preferably in a virtualized environment. Knowledge of Source Code Control Software (Git, SVN or Perforce). Strong contributor with excellent communication skills in English and proficiency in German is a plus. Ways to stand out from the crowd: Familiarity with deep learning framework like TensorFlow, Keras and PyTorch Knowledge of statistics, including variance analysis Developing software on other operating systems, such as OSX Experience with graphics and/or compute APIs such as OpenGL, Direct3D, Vulkan, CUDA or OpenCL 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, 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.

NVIDIA is looking for a motivated Embedded memory qualification engineer for Memory Solution(MS) Team! MS works with various teams within NVIDIA Engineering includes Board Design, Signal Integrity, Design Validation, Video Bios software, ASIC, and Memory Vendors. In this role, you will be faced with the challenge of qualify multiple alt memory for embedded projects, like Tegra, Auto, shield...etc. Weekly communications, and coordinate peers and operations with specified objectives; conducting project review and creating detail reports for execution teams, and call out to management as needed. Initial and develop a comprehensive project schedule, ensure key deliverables align to BU key achievements for TTM launch. Work with design/validation and cross-function teams to ensure quality assurance activities. What you'll be doing: Deploy memory AC timing in Vbios Fine tune memory interface for different type of Graphic memories and vendors Validate the solution of memory sub-system is good with margin and no concern on stability. P-rel with qualified alt memory and roll in for production. Create software tools to process log files or setup database. Extraordinary programming skills, especially on C/C++, python, Linux shell or Perl is a huge plus Familiarity with Graphic card or GDDR/HBM memory technology Prior hardware design experience (or internships) related to high speed subsystem design, memory controller design, High-speed IO protocols, on-chip interconnect would be much appreciated Power or thermal knowledge What we need to see: MS in EE, CE, CS, Systems Engineering (or equivalent experience) Familiar with PCB layout and high-speed board design issues Good knowledge of memory signal integrity and analog interface characterization Detail oriented, reliable, Self-motivated and able to work under pressure Experienced with Python, JavaScript, C/C++, Windows, and Linux Excellent problem-solving abilities 5 years+ work experience in embedded Ways to stand out from crowd: Good understanding on memory signaling/protocol (LPDDRX/GDDRX) is a plus Strong programming skills (Perl/Python) Experienced with lab tools (oscilloscopes, multimeters, logic analyzers). Exposure to BIOS, drivers, and other software applications Strive to be a standout colleague and be ready to work with global teams from diverse cultural backgrounds in a high energy environment Knowledgeable in memory signal integrity, statistics, timing analysis, fault analysis, sampling, computer architecture, filters 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 passionate about developing graphic card we want to hear from you!