NVIDIA's Developer Technology Engineering team is a global network of world-class experts pushing the boundaries of accelerated computing! We empower developers with groundbreaking solutions while driving innovation that fuels NVIDIA's leadership in this transformative field. NVIDIA's accelerated computing platform is revolutionizing industries. To capitalize on this explosive growth, we're growing our team and seeking a visionary leader to drive our continued success. What you'll be doing: This role offers a unique opportunity to lead a team of skilled performance engineers collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs! NVIDIA platform is known for its AI dominance in deep learning training and inference. Nonetheless, modern data centers have hundreds of millions of CPUs that are used today to run mission critical workloads such as database, data preprocessing, compression, video transcoding, web servers, and many others. Help modernize today's data centers by researching and developing implementations to help save cost and power using the advanced NVIDIA platform. Core responsibilities include: Driving Innovation: This involves researching, analyzing, and developing innovative techniques to optimize performance of complex workloads across cloud and on-premise environments. These workloads are difficult to parallelize and major performance speed-ups require inventing new algorithms and working side-by-side with architects to influence hardware. Technical Leadership: Drive technical excellence by leading software design decisions, influencing architecture roadmap, and effectively communicating technical solutions to multi-functional teams. Prioritize and lead key initiatives that advance the performance and adoption of NVIDIA's hardware and software platforms. Growing and Mentoring Your Team: Build a distributed world-class team of performance engineers. Grow domain, hardware and software expertise within your team to strengthen external developer engagements. Foster a collaborative and innovative culture that encourages idea sharing, empowers team members, and provides opportunities for professional growth. Collaboration and Communication: Collaborate closely with company leadership, research teams, and cross-functional partners to drive strategic decision-making, program management, and successful initiative implementation. Advocate for next-generation hardware and software products that address the evolving needs of the developer community. What we need to see: An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science degree (or equivalent experience). 7+ overall years of relevant experience with 4+ years in a technical role and 3+ years of experience in an engineering leadership role. Outstanding leadership, strong cross-functional collaboration, and impactful project execution. Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA. Programming fluency in C/C++ with a deep understanding of algorithms and software development. In-depth expertise with CPU and GPU architecture fundamentals. Strong algorithmic skills and proven experience implementing low-level optimizations for enterprise applications. A track record of building high-performing teams by attracting and hiring top engineering talent. Excellent communication and presentation skills. Demonstrated ability to successfully plan, lead, and execute high-impact initiatives. Ways to stand out from the crowd: A PhD in a relevant field is highly valued. Experience leading engineering teams to design performance-first prototypes. An extensive background in memory and storage technologies. NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. Come join our team of brilliant minds leading the way in accelerated computing. Are you a creative and independent computer scientist with a passion for parallel computing? If so, we invite you to apply. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 425,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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.
09/06/2025
Full time
NVIDIA's Developer Technology Engineering team is a global network of world-class experts pushing the boundaries of accelerated computing! We empower developers with groundbreaking solutions while driving innovation that fuels NVIDIA's leadership in this transformative field. NVIDIA's accelerated computing platform is revolutionizing industries. To capitalize on this explosive growth, we're growing our team and seeking a visionary leader to drive our continued success. What you'll be doing: This role offers a unique opportunity to lead a team of skilled performance engineers collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs! NVIDIA platform is known for its AI dominance in deep learning training and inference. Nonetheless, modern data centers have hundreds of millions of CPUs that are used today to run mission critical workloads such as database, data preprocessing, compression, video transcoding, web servers, and many others. Help modernize today's data centers by researching and developing implementations to help save cost and power using the advanced NVIDIA platform. Core responsibilities include: Driving Innovation: This involves researching, analyzing, and developing innovative techniques to optimize performance of complex workloads across cloud and on-premise environments. These workloads are difficult to parallelize and major performance speed-ups require inventing new algorithms and working side-by-side with architects to influence hardware. Technical Leadership: Drive technical excellence by leading software design decisions, influencing architecture roadmap, and effectively communicating technical solutions to multi-functional teams. Prioritize and lead key initiatives that advance the performance and adoption of NVIDIA's hardware and software platforms. Growing and Mentoring Your Team: Build a distributed world-class team of performance engineers. Grow domain, hardware and software expertise within your team to strengthen external developer engagements. Foster a collaborative and innovative culture that encourages idea sharing, empowers team members, and provides opportunities for professional growth. Collaboration and Communication: Collaborate closely with company leadership, research teams, and cross-functional partners to drive strategic decision-making, program management, and successful initiative implementation. Advocate for next-generation hardware and software products that address the evolving needs of the developer community. What we need to see: An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science degree (or equivalent experience). 7+ overall years of relevant experience with 4+ years in a technical role and 3+ years of experience in an engineering leadership role. Outstanding leadership, strong cross-functional collaboration, and impactful project execution. Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA. Programming fluency in C/C++ with a deep understanding of algorithms and software development. In-depth expertise with CPU and GPU architecture fundamentals. Strong algorithmic skills and proven experience implementing low-level optimizations for enterprise applications. A track record of building high-performing teams by attracting and hiring top engineering talent. Excellent communication and presentation skills. Demonstrated ability to successfully plan, lead, and execute high-impact initiatives. Ways to stand out from the crowd: A PhD in a relevant field is highly valued. Experience leading engineering teams to design performance-first prototypes. An extensive background in memory and storage technologies. NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. Come join our team of brilliant minds leading the way in accelerated computing. Are you a creative and independent computer scientist with a passion for parallel computing? If so, we invite you to apply. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 425,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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.
Come be a part of new process technology adoption by joining NVIDIA's Advanced Technology Group! Work as part of the advanced technology team to optimize design tradeoffs and methodology on next generation CMOS technology. We are looking for a Senior ASIC Synthesis Engineer to join our dynamic and growing team! If you are problem solver and highly motivated individual searching for a collaborative and exciting role, join us today. We encourage applicants with a history of proven success working in a multicultural and diverse environment. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence. What You'll Be doing: As a Front-End ASIC Synthesis Engineer, you will own RTL synthesis and gate level optimization tasks Collaboration with physical design to address timing, area, congestion tradeoffs Drive timing closure and power/area optimization across multiple design blocks Work with DFT and Verification teams to ensure functional and timing correctness What we need to see: BS or MS in Electrical Engineering, Computer Engineering, or equivalent experience. 8+ years of experience in front-end ASIC synthesis and integration. Deep understanding of Verilog RTL design and digital design principles. Proven experience with industry-standard EDA tools for synthesis (e.g., Synopsys Design Compiler). Hands-on experience with timing analysis, constraint management, and post-synthesis ECO flows. Solid background in low-power and high-performance design optimization techniques. Familiarity with formal verification tools (e.g., Formality/Conformal LEC) and methodologies. Ways to stand out from the crowd: Knowledge of DFT/Test logic including JTAG, scan, high speed I/O loopback, and memory BIST. Have proficiency in programming (Python, Perl, Tcl). NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 1, 2025. 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.
09/06/2025
Full time
Come be a part of new process technology adoption by joining NVIDIA's Advanced Technology Group! Work as part of the advanced technology team to optimize design tradeoffs and methodology on next generation CMOS technology. We are looking for a Senior ASIC Synthesis Engineer to join our dynamic and growing team! If you are problem solver and highly motivated individual searching for a collaborative and exciting role, join us today. We encourage applicants with a history of proven success working in a multicultural and diverse environment. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence. What You'll Be doing: As a Front-End ASIC Synthesis Engineer, you will own RTL synthesis and gate level optimization tasks Collaboration with physical design to address timing, area, congestion tradeoffs Drive timing closure and power/area optimization across multiple design blocks Work with DFT and Verification teams to ensure functional and timing correctness What we need to see: BS or MS in Electrical Engineering, Computer Engineering, or equivalent experience. 8+ years of experience in front-end ASIC synthesis and integration. Deep understanding of Verilog RTL design and digital design principles. Proven experience with industry-standard EDA tools for synthesis (e.g., Synopsys Design Compiler). Hands-on experience with timing analysis, constraint management, and post-synthesis ECO flows. Solid background in low-power and high-performance design optimization techniques. Familiarity with formal verification tools (e.g., Formality/Conformal LEC) and methodologies. Ways to stand out from the crowd: Knowledge of DFT/Test logic including JTAG, scan, high speed I/O loopback, and memory BIST. Have proficiency in programming (Python, Perl, Tcl). NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 1, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence. NVIDIA is looking for best-in-class Senior ASIC Timing Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in crafting our groundbreaking and innovating chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company. What you will be doing: You will drive physical design and timing of high-frequency and low-power DPUs and SoCs at block level, cluster level, and/or full chip level. Analyze and optimize design constraints and synthesis parameters to achieve performance, power, and area targets. Help in driving frontend and backend implementation from RTL to gds2, including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation. What we need to see: Great teammate BS (or equivalent experience) in Electrical or Computer Engineering 8+ years experience or MS (or equivalent experience) with 2 years experience in Synthesis and Timing. Understanding of DFT logic and hands-on experience in design closure. Expertise in analyzing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes. Knowledge in process variation effect modeling and experience in design convergence taking into account process variations. Experience in critical path planning and crafting needed. Power user of Static Timing tools like Synopsys PrimeTime or Cadence Tempus. Solid experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence. Proficiency in Python, Tcl and Make for automation and scripting tasks. NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 26, 2025. 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.
09/06/2025
Full time
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence. NVIDIA is looking for best-in-class Senior ASIC Timing Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in crafting our groundbreaking and innovating chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company. What you will be doing: You will drive physical design and timing of high-frequency and low-power DPUs and SoCs at block level, cluster level, and/or full chip level. Analyze and optimize design constraints and synthesis parameters to achieve performance, power, and area targets. Help in driving frontend and backend implementation from RTL to gds2, including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation. What we need to see: Great teammate BS (or equivalent experience) in Electrical or Computer Engineering 8+ years experience or MS (or equivalent experience) with 2 years experience in Synthesis and Timing. Understanding of DFT logic and hands-on experience in design closure. Expertise in analyzing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes. Knowledge in process variation effect modeling and experience in design convergence taking into account process variations. Experience in critical path planning and crafting needed. Power user of Static Timing tools like Synopsys PrimeTime or Cadence Tempus. Solid experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence. Proficiency in Python, Tcl and Make for automation and scripting tasks. NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 26, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life's work, to amplify human imagination and intelligence, and expand what is possible. We're seeking strategic, bold, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Make the choice to join us today. We are looking for a n AI Infrastructure System Software Manager to join our mission to continue improving our HPC infrastructure. Our team builds and operates sophisticated infrastructure to enable business critical services and AI applications. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this i nfras tru cture . Ideal candidate is strong in software development, designing and creating reliable distribute d system s, and has the abi lit y to imp leme n t well though t out lo ng term maintenance strategy. What you'll be doing: Mentor, grow, and develop a world-class team of AI infrastructure engineers. Work across several teams and orgs to build products that use LLMs and agent systems to serve the needs of NVIDIA engineering teams. In that role, you will be collaborating with research and infra teams and serve a large user base (hardware/software teams across NVIDIA). Align priorities across collaborators and define metrics for measuring the success of the product/team. Develop and execute strategies for scalable, reliable, and secure AI infrastructure supporting both research and production workloads. Ensure robust monitoring, logging, visualization, and alerting capabilities to guarantee promised uptime and operational excellence. Architect, design, develop, and maintain infrastructure and large-scale applications for LLM-based solutions. Optimize these systems for performance, scalability, reliability, and secure data management. Stay updated with the latest trends in AI, ML, and infrastructure, proactively seeking opportunities to integrate advancements into Nvidia's LLM and AI infrastructure solutions. What we need to see: 10+ overall years of industry large distributed system software development experience. BS+ degree in CS or related/equivalent experience. 5+ years of experience managing of AI and SW development teams. Familiarity with modern software development stacks and tools, including containerization, cloud or on-premises deployments, API integration for seamless model operation, and real-time processing frameworks. Experience in developing and maintaining LLM or GenAI infrastructure Excellent communication, collaboration and problem-solving skills, with a dedication to encouraging an inclusive and diverse workplace. Hands-on experience developing large-scale distributed systems Ways to stand out from the crowd: Strong technical background in cloud/distributed infrastructure Experience debugging functional and performance issues in HPC GPU clusters Background in running and instrumenting distributed LLM training on a multi GPU HPC cluster Experience with HPC schedulers such as Slurm 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 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 425,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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.
09/06/2025
Full time
NVIDIA has continuously reinvented itself over two decades. 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 and enabled the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life's work, to amplify human imagination and intelligence, and expand what is possible. We're seeking strategic, bold, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Make the choice to join us today. We are looking for a n AI Infrastructure System Software Manager to join our mission to continue improving our HPC infrastructure. Our team builds and operates sophisticated infrastructure to enable business critical services and AI applications. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this i nfras tru cture . Ideal candidate is strong in software development, designing and creating reliable distribute d system s, and has the abi lit y to imp leme n t well though t out lo ng term maintenance strategy. What you'll be doing: Mentor, grow, and develop a world-class team of AI infrastructure engineers. Work across several teams and orgs to build products that use LLMs and agent systems to serve the needs of NVIDIA engineering teams. In that role, you will be collaborating with research and infra teams and serve a large user base (hardware/software teams across NVIDIA). Align priorities across collaborators and define metrics for measuring the success of the product/team. Develop and execute strategies for scalable, reliable, and secure AI infrastructure supporting both research and production workloads. Ensure robust monitoring, logging, visualization, and alerting capabilities to guarantee promised uptime and operational excellence. Architect, design, develop, and maintain infrastructure and large-scale applications for LLM-based solutions. Optimize these systems for performance, scalability, reliability, and secure data management. Stay updated with the latest trends in AI, ML, and infrastructure, proactively seeking opportunities to integrate advancements into Nvidia's LLM and AI infrastructure solutions. What we need to see: 10+ overall years of industry large distributed system software development experience. BS+ degree in CS or related/equivalent experience. 5+ years of experience managing of AI and SW development teams. Familiarity with modern software development stacks and tools, including containerization, cloud or on-premises deployments, API integration for seamless model operation, and real-time processing frameworks. Experience in developing and maintaining LLM or GenAI infrastructure Excellent communication, collaboration and problem-solving skills, with a dedication to encouraging an inclusive and diverse workplace. Hands-on experience developing large-scale distributed systems Ways to stand out from the crowd: Strong technical background in cloud/distributed infrastructure Experience debugging functional and performance issues in HPC GPU clusters Background in running and instrumenting distributed LLM training on a multi GPU HPC cluster Experience with HPC schedulers such as Slurm 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 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 425,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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 Power Architecture and Optimization Engineer! NVIDIA prides ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to competition is key to our continued success. Our team is responsible for analyzing fullchip and unit-level power data, and driving ASIC teams to improve their units' power efficiency; and is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of this team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements. What You'll Be Doing: Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency. Develop and share best practices for performing pre-silicon power analysis. Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny. Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes. Select and run a wide variety of workloads for power analysis. Prototype a new architectural feature in Verilog and analyze power. Automate flows, define new flows to fast-track Power anomaly detection. Use AI to come up with Power optimization solutions. What We Need To See: MS (or equivalent experience) with 3+ years of experience or PhD in related fields. Strong understanding of concepts of energy consumption, estimation, data movement and low power design. Familiarity with Verilog and ASIC design principles, including knowledge of Power Artist, PTPX (Prime Power RTL, RTL Architect). Good verbal/written English and interpersonal skills; much collaboration with design teams is expected. Strong coding/automation skills, preferably in Python, Perl, and C++. Desire to bring data-driven decision-making and analytics to improve our products. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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.
09/06/2025
Full time
We are now looking for a Senior Power Architecture and Optimization Engineer! NVIDIA prides ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to competition is key to our continued success. Our team is responsible for analyzing fullchip and unit-level power data, and driving ASIC teams to improve their units' power efficiency; and is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of this team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements. What You'll Be Doing: Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency. Develop and share best practices for performing pre-silicon power analysis. Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny. Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes. Select and run a wide variety of workloads for power analysis. Prototype a new architectural feature in Verilog and analyze power. Automate flows, define new flows to fast-track Power anomaly detection. Use AI to come up with Power optimization solutions. What We Need To See: MS (or equivalent experience) with 3+ years of experience or PhD in related fields. Strong understanding of concepts of energy consumption, estimation, data movement and low power design. Familiarity with Verilog and ASIC design principles, including knowledge of Power Artist, PTPX (Prime Power RTL, RTL Architect). Good verbal/written English and interpersonal skills; much collaboration with design teams is expected. Strong coding/automation skills, preferably in Python, Perl, and C++. Desire to bring data-driven decision-making and analytics to improve our products. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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 revolutionizing accelerated computing, and our innovation is powered by a relentless pursuit of excellence in system software and operating systems. With a legacy of breakthroughs in graphics, AI, and high-performance computing, NVIDIA is looking for a highly skilled and motivated Linux Kernel Architect - Tegra to help craft the next era of accelerated computing for autonomous machines! As a Senior Architect, you will play a meaningful role in the evolution of our system software stack across platforms-from automotive and robotics to large-scale data centers. You will drive architectural decisions around OS kernel subsystems, scheduling, memory management, power/performance optimization, and I/O frameworks. You will collaborate across hardware, software, and research teams to design features that power NVIDIA's next-generation products. At NVIDIA, you'll work alongside world-class engineers, contributing to products that transform industries and enrich the lives of millions. If you're driven by system-level thinking and committed to optimizing the boundary between hardware and software, we want to hear from you! What you'll be doing: Lead efforts to enhance Linux for use by autonomous machines in safety-critical environments Analyze and optimize product performance for customer needs Work with internal team members and the upstream community to bring these capabilities to various open source packages What we need to see: BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience). 6+ years of relevant software development experience Expert level knowledge and experience in system software design and operating system fundamentals Deep understanding of computer architecture, microprocessor concepts (caches, buses, memory controllers, DMA, etc.) Proven leadership skills and strong ownership on past projects in an environment with complex software and hardware designs Clear verbal and written communication with the proven track record for building consensus within a large organization Exceptional C programming and low-level driver experience; background and strength with complex system-level debugging, performance analysis and test design Kernel development experience with Linux, Android, Chrome, or Windows systems Ways to stand out from the crowd: Experience as a maintainer or significant contributor to large open source software projects In depth knowledge of system level security. Demonstrated involvement with the community at large Knowledge of virtualization platforms (Xen, KVM, Hyper-V) Experience with embedded system SW concepts, e.g.: RTOS and overlay programming models Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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.
09/06/2025
Full time
NVIDIA is revolutionizing accelerated computing, and our innovation is powered by a relentless pursuit of excellence in system software and operating systems. With a legacy of breakthroughs in graphics, AI, and high-performance computing, NVIDIA is looking for a highly skilled and motivated Linux Kernel Architect - Tegra to help craft the next era of accelerated computing for autonomous machines! As a Senior Architect, you will play a meaningful role in the evolution of our system software stack across platforms-from automotive and robotics to large-scale data centers. You will drive architectural decisions around OS kernel subsystems, scheduling, memory management, power/performance optimization, and I/O frameworks. You will collaborate across hardware, software, and research teams to design features that power NVIDIA's next-generation products. At NVIDIA, you'll work alongside world-class engineers, contributing to products that transform industries and enrich the lives of millions. If you're driven by system-level thinking and committed to optimizing the boundary between hardware and software, we want to hear from you! What you'll be doing: Lead efforts to enhance Linux for use by autonomous machines in safety-critical environments Analyze and optimize product performance for customer needs Work with internal team members and the upstream community to bring these capabilities to various open source packages What we need to see: BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience). 6+ years of relevant software development experience Expert level knowledge and experience in system software design and operating system fundamentals Deep understanding of computer architecture, microprocessor concepts (caches, buses, memory controllers, DMA, etc.) Proven leadership skills and strong ownership on past projects in an environment with complex software and hardware designs Clear verbal and written communication with the proven track record for building consensus within a large organization Exceptional C programming and low-level driver experience; background and strength with complex system-level debugging, performance analysis and test design Kernel development experience with Linux, Android, Chrome, or Windows systems Ways to stand out from the crowd: Experience as a maintainer or significant contributor to large open source software projects In depth knowledge of system level security. Demonstrated involvement with the community at large Knowledge of virtualization platforms (Xen, KVM, Hyper-V) Experience with embedded system SW concepts, e.g.: RTOS and overlay programming models Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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 software powers today's breakthroughs in AI! To enable researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the AI platform software stack and the ecosystem! This role will craft the fundamental technical content educating developers how to write software's using NVIDIA's AI platforms through technical blog posts, user guides, walk-throughs, benchmark and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA AI platform SW. Do you appreciate the value of a well-done design guide? If so, we'd like your help empowering developers across deep learning training and inference. What You'll be Doing: Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content Being the champion for AI among the NVIDIA developer community by interacting and answering questions about the product on Github and other forums Improving product documentations to be clear and self-explanatory Facilitating channel customer usability feedback from the external community and partnering with internal teams to improve NVIDIA AI Platforms to be the easiest to use Providing code guidelines to DL developers by implementing samples and proof of concept applications Benchmarking and generating data for better positioning of NVIDIA's SW product What We Need to See: Bachelor's degree in Computer Science, Computer Engineering, or similar field or equivalent experience 5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company 3+ year of experience with deep learning or machine learning Strong knowledge of Python or C/C++, programming techniques, and software development Strength presenting to technical audiences and generating content for developers Prior success in juggling multiple projects at a time Ways to Stand Out from the Crowd: Advanced knowledge of LLMs, modern AI software architecture and cloud APIs Existing public facing technical content, forum contributions or open source projects Familiarity with PyTorch, JAX, vLLM or other training & inference frameworks Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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.
09/06/2025
Full time
NVIDIA software powers today's breakthroughs in AI! To enable researchers and developers to keep pace with this dynamic field, we seek a technical marketing expert who understands the AI platform software stack and the ecosystem! This role will craft the fundamental technical content educating developers how to write software's using NVIDIA's AI platforms through technical blog posts, user guides, walk-throughs, benchmark and more. This material is essential in mentoring developers about the latest advancements in the NVIDIA AI platform SW. Do you appreciate the value of a well-done design guide? If so, we'd like your help empowering developers across deep learning training and inference. What You'll be Doing: Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content Being the champion for AI among the NVIDIA developer community by interacting and answering questions about the product on Github and other forums Improving product documentations to be clear and self-explanatory Facilitating channel customer usability feedback from the external community and partnering with internal teams to improve NVIDIA AI Platforms to be the easiest to use Providing code guidelines to DL developers by implementing samples and proof of concept applications Benchmarking and generating data for better positioning of NVIDIA's SW product What We Need to See: Bachelor's degree in Computer Science, Computer Engineering, or similar field or equivalent experience 5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar at a technology company 3+ year of experience with deep learning or machine learning Strong knowledge of Python or C/C++, programming techniques, and software development Strength presenting to technical audiences and generating content for developers Prior success in juggling multiple projects at a time Ways to Stand Out from the Crowd: Advanced knowledge of LLMs, modern AI software architecture and cloud APIs Existing public facing technical content, forum contributions or open source projects Familiarity with PyTorch, JAX, vLLM or other training & inference frameworks Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. 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.