{"id":4142454,"url":"https://alion.io/job/nvidia-enterprise-product-engineer-fullstack","title":"Enterprise Product Engineer - Fullstack","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":"Backend","role_family":"Backend","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","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":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Next.js","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-11T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T05:45:50Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as \"the AI computing company.\" Are you willing to challenge yourself, and build phenomenal software by working with the smartest people in the world? Join us at the forefront of technological advancement. We’re hiring a Senior Fullstack Engineer to develop the future of developer infrastructure with NVIDIA Brev. You’ll lead the development of dev-focused cloud tooling that unlocks GPU infrastructure across any cloud with one click. This is a high-impact role for someone who thrives on product thinking, enjoys writing polished frontend and robust backend code, and contributes actively to open source communities.\nWhat You’ll Be Doing:\nDesign and build fullstack features with React/Next.js and Go that empower developers to launch cloud GPU environments seamlessly\n\nShape the developer experience through devtools-style thinking and customer empathy\n\nOwn large product surface areas end-to-end - from UI/UX flows to cloud backend APIs\n\nCollaborate cross-functionally with design, product, and marketing to build great UX and landing surfaces\n\nDrive OSS contributions and cultivate community engagement with our open infrastructure libraries\n\nArchitect scalable systems using Kubernetes, SQL, and protobuf-based APIs\n\nDefine and uphold best practices for code quality, testing, and release processes\n\nWhat We Need to See:\nB.S. Degree or equivalent experience\n\n8+ years of software engineering experience across both frontend and backend domains\n\nProficiency with React, Next.js, TypeScript, and modern web development practices\n\nStrong backend skills in Golang with experience in Protobuf/gRPC, OpenAPI, and building APIs for distributed systems\n\nHands-on experience working with Kubernetes, cloud infrastructure (AWS/GCP/Azure), and SQL databases\n\nProven ability to lead or maintain open-source projects, with a bias for shipping\n\nStrong product intuition and a history of working closely with design or product teams\n\nExperience using AI agents in production to accelerate software development\n\nEmpathy for developers and a drive to simplify complex infrastructure into delightful experiences\n\nWays to Stand Out from the crowd:\nPrior experience building developer tools, cloud platforms, or CLI/SDKs for technical users\n\nDeep knowledge of container orchestration, system design, and reliability patterns\n\nA track record of OSS leadership or maintainer status on high-visibility projects\n\nNVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, 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 15, 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":3937,"description_truncated":false,"requirements":{"experience_years_min":8,"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":"2026-11-12T05:45:50Z"}],"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":1253}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":43,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-11-12T06:38:26Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-enterprise-product-engineer-fullstack","json_url":"https://alion.io/job/nvidia-enterprise-product-engineer-fullstack.json","meta":{"generated_at":"2026-11-12T06:38:26Z","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":13283,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"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-enterprise-product-engineer-fullstack"},{"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-enterprise-product-engineer-fullstack"},{"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-enterprise-product-engineer-fullstack"},{"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-enterprise-product-engineer-fullstack\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-enterprise-product-engineer-fullstack"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4142454}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4142454},"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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