{"id":3874896,"url":"https://alion.io/job/nvidia-system-software-intern-embedded-power-management-2027","title":"System Software Intern, Embedded Power Management - 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":["Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false}],"status":"live","first_seen_at":"2026-11-06T15:56:12Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T23:17:06Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world.\nWhat you’ll be doing:\nYou will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms\n\nImplement power and thermal management software features in Linux Kernel and user space\n\nCollaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization\n\nWhat we need to see:\nPursuing a Bachelor, Master or PhD degree in CS, CE, EE, Systems Engineering or related software/hardware engineering major\n\nSoftware development experience with a significant focus on Linux\n\nExcellent C programming/debugging skills within Linux kernel and user space software\n\nBackground with working on embedded systems and ARM processor specific\n\nSystem-level debugging experience and problem-solving skills\n\nExcellent communication skills\n\n Ways to stand out from the crowd:\nExperience in working with the Linux and open-source software communities\n\nUnderstanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, suspend to RAM), factors influencing power efficiency at chip and platform.\n\nWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. 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