{"id":950687,"url":"https://alion.io/job/nvidia-system-software-engineer-npi-data-center-diagnostics","title":"Senior System Software Engineer, NPI Data Center Diagnostics","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":82,"open_postings":592,"ghost_share":0.019,"stale_share":0.66,"repost_share":0.034,"time_to_fill_p50_days":33,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":152000,"max":241500,"currency":"USD","period":"year","gross":null,"usd_annual":241500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"NVLink","optional":false},{"name":"OpenGL","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T21:30:23Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":32},"description":"We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, detailed knowledge of graphics concepts and algorithms, a proven foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level.\nExcellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. Join us!\nWhat you'll be doing:\nWorking closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products.\nResponsible for crafting software tools and infrastructure required for new chip development, validation, and productization.\nYou will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions.\nThis job will require an understanding of our hardware and software architectures.\nWhat we need to see:\nBS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience\nStrong C/C++ or Python programming skills\nFamiliarity with computer architecture, and ability to work close to the hardware\n5+ years of relevant experience\nBackground with PCIe, NVLink or server product technologies like InfiniBand, Ethernet is a plus\nPrevious experience of working on a large system software code base is preferable\nVery strong problem solving and debugging skills\nAbility to self-manage, show leadership, and have good interpersonal skills\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 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. 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