{"id":2726724,"url":"https://alion.io/job/nvidia-senior-power-analysis-and-optimization-engineer","title":"Senior Power Analysis and Optimization Engineer","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":86,"open_postings":410,"ghost_share":0.01,"stale_share":0.534,"repost_share":0.032,"time_to_fill_p50_days":33,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Hardware","role_family":"Hardware","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":177000,"max_usd":324000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1301},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Synopsys PrimePower","optional":false},{"name":"Verilog","optional":false}],"status":"live","first_seen_at":"2026-10-16T16:32:11Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T01:56:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We’re looking for a Senior Power Architecture & Optimization Engineer to push the limits of energy efficiency using advanced analytics and AI, including LLMs trained specifically for power analysis.\nNVIDIA’s leadership in accelerated computing depends on building the most energy-efficient GPUs and SoCs in the industry. As AI and graphics workloads scale explosively, we believe that Power Analysis and Optimization driven by AI and LLMs is the future-and a key differentiator for our next generations of GPUs and Tegra SoCs. In this role, you’ll be at the center of that effort-combining power architecture expertise with machine learning, reinforcement learning, data analytics, and large language models (LLMs) to invent new ways to model, analyze, and optimize energy consumption across full-chip and unit-level designs.\nWhat You’ll Be Doing:\nAnalyze full-chip and unit-level power using internal and industry-standard RTL and gate-level power tools, and translate data into concrete design and architectural improvements.\n\nDevelop and productionize power-aware models and flows, including ML/RL-based techniques for anomaly detection, dynamic power management, and design-space exploration.\n\nDesign and train new LLMs that “learn the art” of power analysis from design data, power reports, bug histories, and best practices-so they can:\nAssist engineers in interpreting complex power data\n\nPropose likely root causes and candidate fixes\n\nRecommend architectural and micro-architectural optimizations for power\n\nPerform comparative power analysis across workloads, products, and design options to identify trends, anomalies, and optimization opportunities that aren’t obvious from first principles alone.\n\nPartner closely with Architects, Performance, Software, ASIC Design, and Physical Design teams to interpret power data, root-cause power bugs, and drive fixes and design changes.\n\nPrototype and evaluate new architectural features in Verilog, with a strong focus on their power and energy implications.\n\nAutomate and scale flows (Python/Perl/C++), and define new pipelines that fast-track power anomaly detection and close the loop between power data, AI models, and design decisions.\n\nApply AI to power optimization: build and deploy data-driven models-using machine learning, reinforcement learning, data analytics, and custom LLMs-to recommend or automatically tune power-efficient configurations and policies.\n\nWhat We Need To See:\nMS (or equivalent experience) and 5yrs experience OR PHD + 3yr experiencein EE/CE/CS or related fields.\n\nStrong understanding of energy consumption, power estimation, data movement, and low-power design.\n\nFamiliarity with Verilog and ASIC design principles, and hands-on experience with tools such as PowerArtist, PrimePower/PrimePower RTL, RTL Architect, or similar.\n\nSolid coding and automation skills, preferably in Python, Perl, and C++.\n\nExperience or strong interest in machine learning, reinforcement learning, and data analytics, ideally applied to EDA, architecture, or system-level optimization.\n\nInterest or experience in building and using LLMs or other foundation models as engineering copilots-especially for EDA/power/architecture workflows.\n\nExcellent communication and collaboration skills to work effectively with cross-functional design and architecture teams.\n\nA genuine desire to bring data-driven, AI-assisted decision-making into power architecture and help shape the energy profile of NVIDIA’s future products.\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 20, 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":4376,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","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":"2026-10-16T16:32:11Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":33,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-10-17T02:33:46Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-senior-power-analysis-and-optimization-engineer","json_url":"https://alion.io/job/nvidia-senior-power-analysis-and-optimization-engineer.json","meta":{"generated_at":"2026-10-17T02:33:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3517,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-senior-power-analysis-and-optimization-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-senior-power-analysis-and-optimization-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-senior-power-analysis-and-optimization-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-senior-power-analysis-and-optimization-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-power-analysis-and-optimization-engineer"}]}