> Markdown version of [/jobs/ext/3454231-system-software-engineer-gpu-power-and-performance-management](https://www.wearedevelopers.com/jobs/ext/3454231-system-software-engineer-gpu-power-and-performance-management). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # System Software Engineer - GPU Power and Performance Management - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, United States - **Experience:** Experienced - **Salary:** $124,000.0 - $195,500.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Computer Programming, Computer Engineering, Data Centers, Software Debugging, Device Drivers, Embedded Software, Firmware, Performance Tuning, Real-Time Operating Systems, System Programming, System Software, Strategies of Testing, Scripting, Application Specific Integrated Circuits, Concurrency, Information Technology - **Published:** September 30, 2026 - **Apply:** https://startup.jobs/system-software-engineer-gpu-power-and-performance-management-2100-nvidia-usa-10230812 ## About the Role * 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 ## Description 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. ## Related Videos - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [JavaScript? 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