{"id":3498051,"url":"https://alion.io/job/nvidia-hardware-systems-engineer-lpu-platform-pathfinding","title":"Hardware Systems Engineer - LPU Platform Pathfinding","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":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":124000,"max":195500,"currency":"USD","period":"year","gross":null,"usd_annual":195500},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cadence Allegro","optional":false},{"name":"Linux","optional":false},{"name":"OrCAD","optional":false},{"name":"TPU","optional":false}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-30T23:07:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"NVIDIA is looking for a Hardware Systems Engineer to join our team and help build next-generation LPU platforms!\nThese platforms support the most fast-paced AI workloads. This is an outstanding opportunity to work on innovative technology that shapes the AI industry. You’ll collaborate with some of the brightest minds, contribute to system architecture, solve engineering challenges, and strengthen the hardware base for large-scale AI.\nWhat you'll be doing:\nContributing to hardware development for LPU platforms, investigating architectures for power delivery, cooling, mechanical build, and high-bandwidth interconnects.\nSupporting system-level technical decisions and trade-off analyses that influence NVIDIA’s LPU roadmap.\nWorking with silicon, architecture, data center, and manufacturing teams to help deliver production-ready systems.\nCollaborating with vendors to debug issues and drive to resolution.\nConducting lab bring-up and hands-on hardware debugging, employing oscilloscopes, logic analyzers, and other bench instruments to analyze and resolve system behavior.\nAssisting in full-stack system debug, addressing electrical, mechanical, thermal, firmware, and application-level issues.\nSupporting program execution by tracking issues, contributing to root-cause analysis, and helping drive timely resolution.\nWhat we need to see:\nBachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field (or equivalent experience).\n4+ years of experience in platform, system, or hardware engineering from concept through delivery.\nWorking knowledge in one or more of: electrical/power build, mechanical/thermal engineering, firmware integration, or performance tuning.\nPractical lab experience with hardware initialization and troubleshooting, including skill with oscilloscopes, multimeters, logic analyzers, and signal measurement instruments.\nExperience with board building using Cadence tools, including schematic capture (Design Entry HDL/OrCAD/Capture) and PCB layout (Allegro).\nExperience working in Linux environments to run SW diags, FW upgrades, and retrieve/parse test logs.\nUnderstanding of communication protocols such as I2C, SPI, USB and UART.\nSolid debugging and problem-solving skills across hardware and software boundaries.\nWays to stand out from the crowd:\nExposure to large-scale AI platforms such as LPU, GPU, TPU, or custom accelerators.\nExperience supporting the build or validation of accelerator systems at rack or cluster scale.\nExposure to advanced system builds such as new power networks, liquid cooling, or optical interconnects.\nFamiliarity with cross-functional collaboration across diverse engineering teams.\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 2, 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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