{"id":1106419,"url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-power-management","title":"Senior System Software Engineer - GPU Power 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":91,"open_postings":251,"ghost_share":0.012,"stale_share":0.327,"repost_share":0.032,"time_to_fill_p50_days":27,"computed_at":"2026-09-28T05:45:00Z"}},"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","Austin, United States","Redmond, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":224000,"max":356500,"currency":"USD","period":"year","gross":null,"usd_annual":356500},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-29T00:12:32Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"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 Senior System Software Engineer to join NVIDIA’s GPU Performance and Power Management Software team. You will be responsible for architecting production software for performance states (P-states) and Power Management Controllers. Your work will also cover dynamic voltage and frequency scaling (DVFS) and power-management control system 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. Your responsibilities will span the entire product lifecycle-from initial architectural design and pre-silicon validation through silicon bring-up, productization, and deployment in extensive data-center infrastructures. This is an outstanding chance to influence how next-generation NVIDIA GPUs provide top-tier performance, energy efficiency, and reliability.\nWhat You’ll Be Doing:\nArchitect, build, implement, and debug GPU power- and performance-management software, with particular emphasis on P-state management and DVFS.\nDevelop real-time controllers, policies, and mechanisms that dynamically optimize GPU performance, power, thermals, and energy efficiency under demanding data-center workloads.\nDrive features across the full product lifecycle: 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 influence the power-management capabilities of next-generation processors.\nAnalyze complex interactions among workloads, clocks, voltages, power limits, thermals, telemetry, and system-level policies.\nLead the investigation and resolution of 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 compose specifications for new power-management features.\nPartner with geographically distributed architecture, ASIC, firmware, driver, validation, platform, and data-center systems teams.\nWhat We Need to See:\nBS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field-or equivalent experience.\nAt least 12+ 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 problems across multiple software and hardware layers.\nExcellent written and verbal communication skills, with a track record of working effectively across organizational and geographic boundaries.\nWays to Stand Out From the Crowd:\nHands-on experience with GPU, CPU, accelerator, or SoC power and performance management.\nBackground with 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 noisy telemetry.\nUnderstanding of electrical and platform considerations such as voltage-frequency relationships, transient power, thermal limits, power delivery, and system-level power budgets.\nYour 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 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until September 25, 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":5120,"description_truncated":false,"requirements":{"experience_years_min":12,"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":["Energy Management","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-22T05:54:37Z"}],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.878,"p_room":1,"age_days":7,"expected_fill_days":27,"reasons":["conf:23","velocity","win:early","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":356500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-power-management","json_url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-power-management.json","meta":{"generated_at":"2026-09-29T03:08:59Z","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":2851,"day_limit":5000,"remaining_today":2149,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}