{"id":1134490,"url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-power-and-performance-management","title":"Senior System Software Engineer - GPU Power and Performance Management","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":299,"ghost_share":0.017,"stale_share":0.381,"repost_share":0.033,"time_to_fill_p50_days":29,"computed_at":"2026-10-03T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-03T22:38:58Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"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.\nYou 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.\nWhat You Will Be Doing:\nArchitect, build, implement, and debug GPU power and performance management software, with emphasis on P-state management and DVFS.\nDevelop control policies, mechanisms, and real-time software that optimize GPU performance, power, thermals, and energy efficiency KPIs under demanding data-center workloads.\nOwn focus area and drive features across the full product lifecycle, including requirements, architecture, implementation, pre-silicon validation, silicon bring-up, productization, and production support.\nCollaborate with GPU architects and hardware designers to define hardware-software interfaces and shape the power-management capabilities of next-generation processors.\nAnalyze complex interactions among workloads, clocks, voltages, power limits, thermals, telemetry, and system-level policies.\nLead investigation and resolution for complex power, performance, stability, and reliability issues spanning firmware, drivers, hardware, and platform software.\nDevelop validation strategies and automation for functional correctness, transition latency, performance-per-watt, and robustness across operating conditions.\nBuild clear architecture, interface, and feature specifications for new power and performance management capabilities.\nPartner effectively with distributed teams across architecture, ASIC, firmware, drivers, validation, platform, and data-center systems.\nInfluence next generation system software by building internal scalable architecture frameworks.\nWhat We Need to See:\nBS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field-or equivalent experience.\n8+ years of extensive industry experience crafting system software, embedded firmware, device drivers, or other hardware-related production software.\nStrong programming skills in C, including experience developing, debugging, and maintaining complex low-level software.\nDeep understanding of operating-system fundamentals, device-driver architecture, embedded or real-time software, concurrency, interrupt handling, and hardware programming.\nExperience interpreting hardware specifications and developing software interfaces for registers, telemetry, interrupts, and control mechanisms.\nStrong understanding of computer architecture and hardware-software interactions.\nProven ability to independently debug complex, cross-layer problems across software and hardware.\nDemonstrated ability to own technically challenging features or subsystems and drive them to production in collaboration with cross-functional teams.\nExcellent written and verbal communication and presentation skills.\nWays to Stand Out from the Crowd:\nHands-on experience with GPU, CPU, accelerator, or SoC power and performance management.\nExperience crafting or implementing P-state selection, DVFS, clock-control, voltage-control, power-capping, thermal-management, throttling, or workload-aware control policies.\nExperience developing real-time feedback controllers, including reasoning about stability, responsiveness, hysteresis, latency, and noise telemetry.\nExperience building validation, observability, and automation infrastructure for low-level software features.\nUnderstanding of electrical and platform considerations such as voltage-frequency relationships, transient power, thermal limits, power delivery, and system-level power budgets.\nWidely 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\nYour 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.\nApplications for this job will be accepted at least until September 26, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA 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.","description_format":"text","description_chars":5637,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-23T07:00:04Z"}],"visa":[],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.84,"p_room":0.9,"age_days":11,"expected_fill_days":29,"reasons":["conf:6","velocity","win:mid","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-power-and-performance-management","json_url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-power-and-performance-management.json","meta":{"generated_at":"2026-10-04T00:29:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":596,"day_limit":5000,"remaining_today":4404,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}