{"id":3746639,"url":"https://alion.io/job/nvidia-manager-software-engineering","title":"Manager, Software Engineering","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":792,"ghost_share":0.023,"stale_share":0.573,"repost_share":0.044,"time_to_fill_p50_days":40,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Management","role_family":"Management","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","Westford, United States","Austin, United States","Durham, United States","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":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Kubernetes","optional":false},{"name":"Post-training","optional":false},{"name":"Pre-training","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-11-04T13:34:17Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-04T13:34:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Research Superclusters (MARS), builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you'll help build solutions that power some of the most sophisticated computing workloads globally.\nWe build and run the platform that NVIDIA's own researchers use to train frontier models. That means some of the largest GPU clusters in the world, spread across multiple clouds and partners, used for pre-training, post-training and reinforcement learning. Our engineers own how work gets scheduled onto that fleet, how data and checkpoints move through it, and the Kubernetes-based platform underneath. We are looking for an engineering manager to lead one of these engineering teams. You will grow a team of strong engineers, own a platform area end to end, and work directly with research teams whose results depend on it. You will shape what the platform becomes, not only keep it running.\nWhat you'll be doing:\nLead, hire and grow a team of software and systems engineers, including senior and staff-level engineers and tech leads.\nLead a core part of the AI infrastructure platform end to end: its roadmap, architecture, reliability and on-call health.\nTurn research needs into platform capabilities by working directly with model training teams.\nSet clear ownership and decision rights for your area: named owners, written decisions, and clean interfaces to partner teams.\nDrive engineering quality at fleet scale: automation over manual operations, observability built in, safe rollouts across many clusters.\nPartner with infrastructure, storage, networking, Kubernetes and cloud-provider teams across NVIDIA, and with external vendors and open-source communities.\nMeasure what matters for researchers, such as reliability, latency, and use it to set priorities.\nContribute to the shared Kubernetes-based platform codebase, including its open-source path, alongside your own team's systems.\nWhat we need to see:\nBS or MS in Computer Science, Computer Engineering or a related field, or equivalent experience.\n12+ overall years in software engineering, with 5+ years managing engineering teams, including leading tech leads or managers.\nA track record of building and running large-scale distributed systems in production: clusters, platforms or infrastructure services used by other engineers.\nHands-on depth in at least one of: workload scheduling and resource management, distributed storage and data systems, or Kubernetes-based platforms.\nHiring and growing senior engineers, and building teams that keep quality high under pressure.\nExperience owning reliability for critical services: on-call, incident response, postmortems and the fixes that follow.\nClear written communication. You can take a contested technical question across several teams to a decision, and write it down.\nWays to stand out from the crowd:\nExperience with GPU clusters for AI training at scale: thousands of GPUs, large training runs, high-speed interconnects.\nExperience with reinforcement learning or post-training workloads and what they need from infrastructure.\nContributions to open-source infrastructure projects, or experience taking an internal platform open source.\nHas led teams across time zones.\nUses AI coding and operations tools in daily work and has raised a team's productivity with them.\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:224,000 USD - 356,500 USD for Level 3; and 272,000 USD - 431,250 USD for Level 4.\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":4696,"description_truncated":false,"requirements":{"experience_years_min":5,"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":"2026-11-04T13:34:17Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":40,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-11-04T16:48:36Z"},"pay":{"stated_usd_annual":356500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-manager-software-engineering","json_url":"https://alion.io/job/nvidia-manager-software-engineering.json","meta":{"generated_at":"2026-11-04T16:48:36Z","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":25711,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-manager-software-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-manager-software-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-manager-software-engineering"},{"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-manager-software-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-manager-software-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3746639}},{"tool":"search_jobs","arguments":{"company":"nvidia.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3746639},"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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