{"id":3416344,"url":"https://alion.io/job/nvidia-architecture-energy-modeling-engineer","title":"Architecture Energy Modeling 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":"B","score":83,"open_postings":778,"ghost_share":0.022,"stale_share":0.587,"repost_share":0.04,"time_to_fill_p50_days":38,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Hardware","role_family":"Hardware","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":97000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":843},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Verilog","optional":false}],"status":"live","first_seen_at":"2026-10-28T19:33:34Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T21:09:15Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"At NVIDIA, we pride ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to the competition is key to our continued success. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, and emulation platforms. Key responsibilities include developing techniques to model, analyze, and reduce the power consumption of NVIDIA GPUs.\nAs a member of the Power Modeling, Methodology, and Analysis Team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next-generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into the energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.\nWhat you’ll be doing:\nWork with architects and performance architects to develop an energy-efficient GPU.\nDevelop methodologies and workflows to select and run a wide variety of workloads to train models using ML and/or statistical techniques.\nDevelop methodologies to improve the accuracy of energy models under various constraints, such as, process, timing, floorplan and layout.\nCorrelate the predicted energy from models created at different stages of the design cycle, with the goal of bridging early estimates to silicon.\nDevelop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL and architectural simulators. Work with architects to fix the identified energy inefficiencies.\nWork with performance, verification and emulation methodology and infrastructure development teams to integrate energy models into their platforms.\nPrototype new architectural features, create an energy model, and analyze the system impact.\nWhat we need to see:\nMS degree with 3+ year experience in related fields or equivalent experience\nStrong coding skills, preferably in Python, C++.\nBackground in machine learning, AI, and/or statistical modeling.\nInterest in computer architecture and energy-efficient GPU designs.\nFamiliarity with Verilog and ASIC design principles is a plus.\nAbility to formulate and analyze algorithms, and comment on their runtime and memory complexities.\nDesire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.\nGood verbal/written English and interpersonal skills.\nWith competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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