{"id":939112,"url":"https://alion.io/job/nvidia-power-analysis-and-optimization-intern-2027","title":"Power Analysis and Optimization Intern - 2027","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":794,"ghost_share":0.025,"stale_share":0.594,"repost_share":0.055,"time_to_fill_p50_days":41,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","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":22000,"max_usd":41000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":829},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Synopsys PrimeTime","optional":false}],"status":"live","first_seen_at":"2026-09-15T16:09:53Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-11-07T23:17:06Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"NVIDIA is committed not only to delivering outstanding chip performance, but also to improving power efficiency across every product. Performance per watt is critical to our success. The Power Analysis and Optimization team helps IP teams define power targets for architectural changes and new features, identify power-saving opportunities throughout the ASIC design process-from architecture definition through place and route-and resolve power issues that could affect functionality or performance.\nAs an intern,you will gain hands-on experience in ASIC power analysis, modeling, optimization, and automation while contributing to more energy-efficient NVIDIA products.\nWhat you’ll be doing:\nSupport the development of IP-level power models for early power estimation of architectural changes and new features.\n\nAssist IP teams in analyzing power consumption across different workloads and application scenarios.\n\nUse internally developed flows and industry-standard tools to perform power analysis and identify optimization opportunities.\n\nWork with design teams to evaluate proposed power optimizations.\n\nDevelop scripts and automation flow to improve the work efficiency.\n\nWhat we need to see:\nCurrently pursuing a BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field.\n\nBasic understanding of digital circuit design, computer architecture, or ASIC design methodology.\n\nFamiliarity with power consumption concepts and common low-power design techniques.\n\nGood written and verbal communication skills in English.\n\nAbility to work effectively in a collaborative engineering environment.\n\nWays to stand out from the crowd:\nCoursework or project experience in RTL design, synthesis, physical design, or computer architecture.\n\nFamiliarity with power-analysis tools such as PrimeTime PX or PowerArtist.\n\nExperience with power modeling, workload analysis, or low-power design.\n\nExperience building or integrating AI agents/skills.\n\nNVIDIA is widely considered one of the technology industry’s most desirable employers, bringing together some of the world’s most talented and innovative people. Are you creative, analytical, and eager to improve the power efficiency of cutting-edge GPU and SoC designs? Do you enjoy understanding complex architectures, analyzing power behavior, and finding opportunities to improve performance per watt? If so, we want to hear from you.\nNVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. 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