[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/) NVIDIA · Santa Clara, CA # System Software Engineer - GPU Power and Performance Management US, CA, Santa Clara Software Engineering Listed on NVIDIA’s official careers site. Posted September 30, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/System-Software-Engineer---GPU-Power-and-Performance-Management_JR2026396) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / System Software Engineer - GPU Power and Performance Management ## Job description NVIDIA is redefining accelerated computing and powering the next era of artificial intelligence. Our data-center platforms bring together GPUs, CPUs, networking, systems, and software to solve some of the world’s most exciting computing problems. We are looking for a System Software Engineer to join NVIDIA’s GPU Performance and Power Management Software team. You will help design, develop, and debug production software for performance states (P-states) and Power Management Controllers. Your work will also support dynamic voltage and frequency scaling (DVFS) and power-management technologies for next-generation data-center GPUs. You will work at the intersection of hardware architecture, embedded firmware, device drivers, operating systems, and AI workloads. In this role, you will contribute across the product lifecycle, including design, pre-silicon development, validation, silicon bring-up, and production support. This is a great opportunity to build expertise in GPU power and performance software while contributing to products that deliver leading performance, energy efficiency, and reliability. ### What You’ll Be Doing Design, build, implement, and debug GPU power- and performance-management software, with emphasis on P-state management and DVFS. Develop control policies and software mechanisms that optimize GPU performance, power, thermals, and energy efficiency under demanding data-center workloads. ### Support features through full product lifecycle requirements, architecture, implementation, pre-silicon validation, silicon bring-up, productization, and production support. Collaborate with GPU architects and hardware designers to define and implement hardware-software interfaces for next-generation processors. Analyze interactions among workloads, clocks, voltages, power limits, thermals, telemetry, and system-level policies. Investigate, triage, and resolve power, performance, stability, and reliability issues spanning firmware, drivers, hardware, and platform software. Help execute validation strategies and automation for functional correctness, transition latency, performance-per-watt, and robustness across operating conditions. Write clear technical documentation, interface definitions, for features. Partner with distributed teams across architecture, ASIC, firmware, driver, validation, platform, and data-center systems. ### What We Need to See BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience. 2+ years of relevant industry experience, or strong coursework, internship, co-op, or project experience in system software. Strong programming skills in C, with the ability to develop, debug, and maintain low-level kernel software. Good understanding of operating-system fundamentals, computer architecture, device-driver architecture, embedded or real-time software, concurrency, interrupt handling, and hardware programming Ability to independently debug and analyze across multiple layers of software and hardware. Ability to read and understand hardware specifications and software interface definitions. Strong problem-solving skills and willingness to learn from and work effectively with cross-functional teams. Excellent written and verbal communication skills. ### Ways to Stand Out From the Crowd Hands-on, Internship or project experience with GPU, CPU, accelerator, or SoC power and performance management. Coursework or project work in computer architecture, operating systems, control systems, or power/performance optimization. Exposure to P-states, DVFS, clock control, voltage control, thermal management, or workload-aware system behavior. Familiarity with validation, scripting or automation, and telemetry analysis for low-level software features. Strong understanding of hardware-software interactions. Experience with AI tools leverage for SW engineering work - coding, validation, automation workflows 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 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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 a glance - Posted by the employer: Sep 30, 2026 - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 20, 2026 - Listed for: 20 days - Location: US, CA, Santa Clara[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/System-Software-Engineer---GPU-Power-and-Performance-Management_JR2026396) ## More jobs at NVIDIA ### [CAD Tools Developer](https://jobs.opennash.com/companies/nvidia/jobs/5bfa4ad848453a3f3c87/) US, CA, Santa Clara ### [Developer Relations Manager - Edge AI and Robotics](https://jobs.opennash.com/companies/nvidia/jobs/b67e66817b9cc540e03e/) US, CA, Santa Clara ### [Developer Relations Manager, Local AI Ecosystem](https://jobs.opennash.com/companies/nvidia/jobs/cd6f55b3005a741e48c1/) US, CA, Santa Clara ### [Developer Technology Engineer, Public Sector - New College Grad 2026](https://jobs.opennash.com/companies/nvidia/jobs/1b735a7c56841724a2e8/) US, CA, Santa Clara ### [Director, Software Engineering – Cloud Compute and Infrastructure](https://jobs.opennash.com/companies/nvidia/jobs/29d8142df4c1ad010bc4/) US, CA, Santa Clara ## Similar jobs at other companies ### [Lead Software Engineer - AI/ML Engineering, GPU ML Serving](https://jobs.opennash.com/companies/jpmorganchase/jobs/7b65ad1022eb8eee2fc3/) JPMorganChase · Seattle, WA, United States ### [Software Engineer III- AI/ML Engineering, GPU ML Serving](https://jobs.opennash.com/companies/jpmorganchase/jobs/8b284b126bdb2501738c/) JPMorganChase · Palo Alto, CA, United States ### [Senior Staff Software Engineer, GPU System Software](https://jobs.opennash.com/companies/alphabet/jobs/003209efb7fb086f0a29/) Alphabet · Sunnyvale, CA, USA ### [GPU System Software Engineer](https://jobs.opennash.com/companies/alphabet/jobs/08ef38825b03d241e606/) Alphabet · Sunnyvale, CA, USA ### [Sonar System Software Test Engineer](https://jobs.opennash.com/companies/lockheed-martin/jobs/32f31a87c3492cae7d6f/) Lockheed Martin · Manassas, VA OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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