{"id":2032676,"url":"https://alion.io/job/nvidia-senior-vlsi-methodology-engineer","title":"Senior VLSI Methodology 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":"A","score":87,"open_postings":411,"ghost_share":0.015,"stale_share":0.479,"repost_share":0.032,"time_to_fill_p50_days":28,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":136000,"max":218500,"currency":"USD","period":"year","gross":null,"usd_annual":218500},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"LLM","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"Synopsys Fusion Compiler","optional":false}],"status":"live","first_seen_at":"2026-10-07T14:51:37Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T04:06:20Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology-and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.\nAre you excited to build the automation infrastructure behind next-generation silicon design? We’re seeking a Senior VLSI Methodology Engineer to join our team and to design automation that powers library modeling, quality checks, and release for NVIDIA’s PD flows. We build and integrate data-driven pipelines and verification systems, collaborating with process and cell-design teams to push modeling standards forward on advanced nodes!\nWhat you'll be doing:\nBuild scalable systems (from validation pipelines through dashboards) for quality checking of GPU and SOC libraries\nDevelop automated library analysis, validation, and quality control flows using modern scripting and EDA tools\nCollaborate with our design teams to integrate library quality systems and enhance cell design methodologies, applying adaptive threshold partitioning\nDefine and implement guidelines for library modeling, abstraction, and data integrity, that drive innovation!\nWhat we need to see:\nM.S. in Electrical Engineering or related field (or equivalent experience)\n4+ years of Library, Physical Design, and/or CAD methodology experience\nHands-on development with industry-standard EDA tools (Innovus, Fusion Compiler, Crosscheck, Virtuoso, or similar), including scripting, customization, or tool integration\nAdvanced Python, C++, or Perl skills; workflow automation and data pipelines development experience (data collection, validation, and reporting/dashboards)\nWays to stand out from the crowd:\nUnderstanding how library models are consumed in chip design flows (synthesis, place and route, timing closure, power analysis)\n2+ years in library modeling/validation, quality systems, or physical design automation\nExperience building robust library models with system-level quality and automation, including exposure to contextual model calibration\nApplied AI/ML/LLM experience to enhance EDA tools, automation, or design methodologies\nBuilt or maintained quality systems with integrated dashboards tracking critical metrics such as release readiness, validation pass rates, or regression health\nWe welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 11, 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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