{"id":194992,"url":"https://alion.io/job/nvidia-senior-asic-front-end-infrastructure-engineer","title":"Senior ASIC Front End Infrastructure 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":"B","score":83,"open_postings":811,"ghost_share":0.026,"stale_share":0.583,"repost_share":0.06,"time_to_fill_p50_days":42,"computed_at":"2026-11-11T05:49:22Z"}},"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","Westford, United States","Austin, United States","Durham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Jenkins","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-07-23T00:00:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-11T05:48:05Z","board_verified":true,"closed_at":null,"days_open":111,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":111},"description":"NVIDIA is seeking elite ASIC Infrastructure engineers to deliver the tooling and environment thatenables DV and RTL Design for the world's leading GPUs. This position offers the opportunity to have a real impact on a dynamic, technology-focused companyimpactingproduct lines ranging from consumer graphics to artificial intelligence, self-drivingcars,and supercomputers.\nOur team of dedicated Infrastructure engineers continuously upgrades the NVIDIA Hardware design environment. We focus relentlessly on Infrastructure improvement so that HW designers can focus relentlessly on their jobs, with Infrastructure that “just works” at worldwide scale and peak performance. Do you likerootcausing a flow failure, even ifit’srare and hard to reproduce,and others have given up?Rapidly learning and deploying best in class internal and industry solutionsincluding AI harnesses in secure environments that you then use to build Skills and Agents for Infrastructure Automation? Instrumenting flows to measure performance and thenimprovingefficiency? Can you do that at scale, seamlessly transitioning teams from old flows?Then join us!\nWhat you'll be doing:\nDeploy AI toolsets at scale in secure configurations for use by all HW Design teams\n\nUse ML/DL/AI techniques to automate Infrastructure work and improve Design teamproductivity\n\nImprove the speed,flexibilityand extensibility of the GPU front end build flow\n\nKeep the GPU Continuous Integration system at thecutting edgeofsource management methodologies\n\nGuide compute farm,filer, and network topology requirementsat cloud scale\n\nDeployand continuously improvecompute farm technologies such as containers, volume cloning, distributedstorageand distributed compute atcloudscale\n\nForecast HW Design compute resource and EDA needs, with reporting up to the CFO’s office\n\nDeploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivity\n\nDeploy information security methods for HW design\n\nRemove inefficiency wherever you can find it!\n\nWhat we need to see:\nMastersDegree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience\n\n8+ years of relevant work experience\n\nProgrammingproficiencyin Python, Perl, or other Systems Programming language. OO design preferred.\n\nExperience using AI tools for development and automation\n\nExperience with Make based build systems in large, distributed computing environments\n\nContinuous Integration pipeline and/or pre-submit verification flow experience, for example using Jenkins\n\nYou should display a tenacity to root cause and fix Infrastructure problems, especially intermittent,hard to isolateissues in a complex computing environment\n\nVerification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functionalcoverageand assertion-based verification methodologies\n\nStrong problem-solving,debuggingand analytical skills\n\nGood interpersonal skills and ability & desire to work as a great teammate\n\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the most sophisticated chips in the world? If so, we want to hear from you!\nYour base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:184,000 USD - 287,500 USD for Level 4; and 224,000 USD - 356,500 USD for Level 5.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 8, 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. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":4244,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-03T08:38:35Z"},{"event":"close","at":"2026-11-01T13:27:15Z"},{"event":"reopen","at":"2026-11-04T19:21:16Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 2,856 · green card filings: 799","filings_12m":2856,"filings_prev_12m":1684,"green_card_filings_12m":799,"median_offered_wage_usd":186407,"route":null,"cap_exempt":false,"checked_at":"2026-11-11T07:38:50+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1244}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.452,"p_room":0.28,"age_days":111,"expected_fill_days":42,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-11T05:49:22Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-asic-front-end-infrastructure-engineer","json_url":"https://alion.io/job/nvidia-senior-asic-front-end-infrastructure-engineer.json","meta":{"generated_at":"2026-11-11T08:59:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14648,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-senior-asic-front-end-infrastructure-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-senior-asic-front-end-infrastructure-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-senior-asic-front-end-infrastructure-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-senior-asic-front-end-infrastructure-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-asic-front-end-infrastructure-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":194992}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":194992},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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