{"id":195328,"url":"https://alion.io/job/nvidia-senior-full-stack-lead-engineer","title":"Senior Full-Stack Lead 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":84,"open_postings":797,"ghost_share":0.025,"stale_share":0.55,"repost_share":0.055,"time_to_fill_p50_days":41,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","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","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":224000,"max":356500,"currency":"USD","period":"year","gross":null,"usd_annual":356500},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"JavaScript","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"Loki","optional":false},{"name":"Machine Learning","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"React.js","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false}],"status":"live","first_seen_at":"2026-07-09T00:00:00Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-11-09T11:43:05Z","board_verified":true,"closed_at":null,"days_open":123,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":123},"description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 30 years. Today, we're at the forefront of AI innovation powering breakthroughs in research, autonomous vehicles, robotics, and more. The DGX Cloud team builds and operates the AI infrastructure that fuels this progress.\nWe’re looking for a Senior Full-Stack Software Engineer to join the AI Hub team within the DGX Cloud AI Infrastructure organization. The AI Hub team accelerates AI research by ensuring NVIDIA’s AI infrastructure is used efficiently, transparently, and at scale. Our primary goal is to build a unified, self-service “single pane of glass” portal that enables AI researchers to efficiently manage, monitor, and optimize their use of Managed AI research Superclusters.\nWhat You’ll Be Doing:\nLead the architecture and delivery of high-scale web products across frontend, backend services, and data layers, with clear availability and latency targets (SLOs/SLAs).\n\nOwn multi-team initiatives end to end: problem discovery, RFCs/design reviews, phased rollouts, and success metrics tied to product and business outcomes.\n\nDrive reliability, performance, and observability improvements to meet exascale standards.\n\nEstablish engineering standards and reusable platforms/design systems to reduce complexity, support load and long-term tech debt.\n\nCollaborate with NVIDIA AI Research teams to identify pain points and deliver the next generation user experience that accelerates their work.\n\nMentor and sponsor engineers; improve code quality, testing, security, and observability through reviews, pairing, and coaching.\n\nStay ahead of AI/ML infrastructure trends and drive adoption of best practices within the team.\n\nWhat We Need To See:\n12+ years of software engineering experience delivering production web systems.\n\nBachelor’s degree or higher in Computer Science or a related technical field (or equivalent experience).\n\nStrong cross-functional collaboration skills, including active listening, translating complex use cases into clear technical requirements, and designing data models aligned with business logic and outcomes.\n\nDeep cloud expertise (AWS, GCP, or Azure), infrastructure as code, containers, and orchestration (Docker, Kubernetes), along with mature CI/CD and safe deployment practices.\n\nFull-stack depth: modern SPA frameworks (React/Next.js or Vue/Nuxt), JavaScript/TypeScript, and one or more backend languages (Node.js, Python, and/or Golang).\n\nFamiliarity with observability stacks such as OpenSearch, Prometheus, Grafana, or Loki.\n\nProficiency in API design (REST), schema evolution, and integration patterns, with a strong commitment to automated testing.\n\nExperience building machine learning platforms or self-service internal infrastructure tools focused on efficiency, resiliency, and observability.\n\nClear written and verbal communication skills, strong problem-solving ability, and a growth mindset.\n\nExperience leveraging AI-assisted development tools (e.g., Cursor).\n\nWays to Stand Out from the Crowd:\nHands-on ML platform depth (MLE experience or strong familiarity with DL frameworks such as PyTorch, TensorFlow, JAX; distributed training ecosystems like Ray).\n\nDatacenter-scale operational experience, including GPU cluster debugging, performance triage, and root-cause analysis across complex distributed systems.\n\nAt NVIDIA, you’ll be immersed in a diverse, supportive environment where you’re empowered to do your best work. The DGX Cloud AI Infrastructure team is at the core of NVIDIA’s AI efforts building the software that makes scalable research possible. Join us and help power the next wave of innovation. NVIDIA provides competitive salaries and a comprehensive benefits package. Our engineering teams are expanding rapidly due to exceptional growth.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 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":4649,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","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":"2026-09-03T09:08:37Z"}],"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":1253}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.449,"p_room":0.28,"age_days":123,"expected_fill_days":41,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-09T06:03:00Z"},"pay":{"stated_usd_annual":356500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-full-stack-lead-engineer","json_url":"https://alion.io/job/nvidia-senior-full-stack-lead-engineer.json","meta":{"generated_at":"2026-11-09T15:34:56Z","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":22094,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"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-full-stack-lead-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-full-stack-lead-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-full-stack-lead-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-full-stack-lead-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-senior-full-stack-lead-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":195328}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":195328},"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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