{"id":4004225,"url":"https://alion.io/job/nvidia-ai-factory-mechanical-engineer","title":"AI Factory Mechanical 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":806,"ghost_share":0.026,"stale_share":0.587,"repost_share":0.06,"time_to_fill_p50_days":42,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","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","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-11-09T00:00:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T06:06:12Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"NVIDIA owned the way in accelerated computing to address problems beyond the reach of standard computers. Its creation of the GPU in 1999 ignited the expansion of PC gaming and transformed modern computer graphics. Now, NVIDIA drives AI forward as a full-stack computing firm. Its data center platforms fuel the upcoming industrial revolution, where intelligence is the product. Our efforts cover accelerated computing, AI, robotics, and the vital data center infrastructure. NVIDIA is now creating AI factories: custom facilities that generate intelligence at unmatched scale and density in data centers. These are not typical data centers; they require power- and cooling-heavy production setups with innovative mechanical systems, new build standards, and fresh engineering leadership. As NVIDIA expands, we seek outstanding engineers who continuously learn, are passionate about their work, and aspire to perform at their highest level.\nThe growth of NVIDIA's accelerated computing and AI infrastructure surpasses historical data center development and operation speeds. We want a highly motivated AI Factory Mechanical Design Engineer to take charge of next-generation liquid cooling and thermal systems for AI factories. Your responsibility will cover all phases, from concept to construction and commissioning, at a scale rarely seen before. This position is not about reviewing others' designs; you will be the engineering authority for systems lacking an established guide. You will join a small, high-impact team where your choices directly influence what is developed. You will set technical direction across hydronic, airside, and facility heat-rejection systems, mentor engineers across the organization, and drive programs that bring real megawatts of AI compute capacity online. Current focus areas include the technical roadmap for advanced mechanical systems, programmatic facility plans, owner-furnished equipment strategy, and adapting standardized plans to local site conditions.\nWhat You'll Be Doing:\nLead data center product and facility builds, balancing cost, energy efficiency, schedule, and sustainability while integrating new technologies.\nOwn mechanical systems strategy and development, including liquid cooling, chiller plants, heat rejection, CDUs, and airside/hydronic systems, from concept through construction administration and commissioning.\nDeliver design documentation and lead execution across all project phases (SD, DD, CD, CA) for greenfield, leased, and retrofit projects.\nPartner with civil/structural, electrical, connectivity, controls, and hardware engineering to align rack-level thermal requirements with facility design, optimized for cost, speed, efficiency, and flexibility.\nDrive prefabricated and modular construction strategies and build-to-break-ground schedules to accelerate deployment.\nAct as NVIDIA’s owner’s representative: hold engineer-of-record teams accountable, prepare RFPs, manage contracts, and review change orders, submittals, RFIs, and value-engineering proposals.\nParticipate in factory witness testing, commissioning, and quality verification, and support handover and knowledge transfer into live operations.\nEvaluate emerging technologies, standards, and sustainability targets (energy and water modeling), support site selection and master planning, and advance reliability and availability practices.\nWhat We Need to See:\nPossession of a Bachelor's degree in Mechanical Engineering or equivalent experience.\n12+ years of mechanical engineering experience supporting critical facilities or large-scale data centers.\nProven expertise in liquid cooling systems, chiller plant development, and/or hydronic system development.\nExperience leading large-scale mechanical infrastructure programs from concept through construction and commissioning.\nExperience across all phases of design delivery (schematic design, design development, etc.).\nStrong ability to communicate technical concepts in writing and presentations to both technical and non-technical audiences, including build reviews and executive briefings.\nWays to Stand Out from the Crowd:\nExperience with prefabricated and modular construction (build for manufacturing and assembly), plus operations and deployment handover for data center mechanical systems.\nHardware thermal engineering background, including thermal build validation and product reliability, with deep expertise in availability and reliability engineering for critical infrastructure.\nProficiency in controls systems (BMS/EPMS integration, mechanical controls logic), electrical and MEP integration, and acoustics/noise engineering and regulatory compliance for mechanical equipment.\nFamiliarity with advanced simulation, modeling, or AI-driven build optimization tools.\nProfessional Engineer (PE) license in Mechanical Engineering required; track record of mentoring engineers and representing owner interests on large capital programs.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 13, 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":5610,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","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":"2026-11-10T06:06:12Z"}],"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":"2026-11-09T07:32:21+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":1330}],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":1,"expected_fill_days":42,"reasons":["conf:0","stale_co","win:early","comp:brand"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-ai-factory-mechanical-engineer","json_url":"https://alion.io/job/nvidia-ai-factory-mechanical-engineer.json","meta":{"generated_at":"2026-11-10T10:11:40Z","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":23692,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"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-ai-factory-mechanical-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-ai-factory-mechanical-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-ai-factory-mechanical-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-ai-factory-mechanical-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-ai-factory-mechanical-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4004225}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4004225},"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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