{"id":1353930,"url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-power-management-2","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":89,"open_postings":299,"ghost_share":0.02,"stale_share":0.385,"repost_share":0.04,"time_to_fill_p50_days":28,"computed_at":"2026-10-02T05:45:00Z"}},"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":["Pune, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-09-27T21:25:21Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-10-02T23:07:18Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We are now looking for a Senior System Software Engineer - GPU Power Management! NVIDIA is searching for a dedicated system software engineer to join the GPU Power Management Software team in Pune. This outstanding opportunity will allow you to work alongside a group of versatile software and hardware engineers, using a wide variety of technologies. You will play a key role in power management software architecture, development, and implementation, and support the GPU architecture and validation of our next generation of processors before launch. The ideal candidate excels at combining deep technical expertise with broad interpersonal influence.\nWhat you'll be doing:\nDesign, implement, and debug kernel-mode NVIDIA software for next-generation hardware through production.\nDevelop and optimize CPU, GPU, and platform power management features, including DVFS, power states, residency improvements, and idle/active power.\nOwn bring-up and hardening of power-related kernel and firmware components across SOC, PMU, regulators, and OS frameworks.\nSupport GPU products across Desktop, Notebook, Workstation, and Data Center customers through production, optimizing performance-per-watt, thermal-aware scheduling, and system resilience.\nDrive emulation, silicon bring-up, power/performance validation, and product hardening.\nCollaborate globally across hardware, firmware, OS, and platform teams on end-to-end power behavior, telemetry, and optimization.\nWhat we need to see:\n5+ years of experience with a BS or MS degree in Electrical, Electronics, Computer Science, or equivalent experience.\nFamiliarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).\nStrong Operating Systems fundamentals with kernel experience on Windows Operating Systems.\nUnderstanding of CPU/GPU power-state machines (C-states, P-states, clock/power gating), platform power controllers, DVFS, ACPI/Modern Standby, and SOC-level low-power modes is a strong plus.\nStrong C programming background and strength with system-level (software + hardware) debugging, especially power, performance, and thermal interactions.\nFamiliarity with platform low-power concepts, PMIC interfaces, VR efficiency tuning, residency analytics, idle-power optimization, or power telemetry debugging.\nWays to stand out from the crowd:\nExperience with x86/ARM power frameworks.\nExperience with Windows & Linux power management.\nPrior cross-company partnership on power architecture defining firmware/software power interfaces.\nFamiliarity with AI or ML-based power optimization approaches.\nBecome part of the team and help develop the next generation of GPU power management technology! Known as a leading employer in the technology sector, NVIDIA delivers attractive salaries and an extensive benefits package. When planning your future, discover the benefits and opportunities we offer at www.nvidiabenefits.com","description_format":"text","description_chars":2949,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy Management","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-27T21:25:21Z"}],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.875,"p_room":1,"age_days":4,"expected_fill_days":28,"reasons":["conf:10","velocity","win:early","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-power-management-2","json_url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-power-management-2.json","meta":{"generated_at":"2026-10-03T00:42:54Z","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":385,"day_limit":5000,"remaining_today":4615,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}