{"id":75132,"url":"https://alion.io/job/lambda-engineering-manager-fleet-engineering","title":"Engineering Manager, Fleet Engineering","company":{"id":32991,"name":"Lambda","domain":"lambda.ai","url":"https://alion.io/company/lambda-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","San Jose, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":297000,"max":440000,"currency":"USD","period":"year","gross":null,"usd_annual":440000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"HPC","optional":false},{"name":"Incident Management","optional":false},{"name":"InfiniBand","optional":false},{"name":"Linux","optional":false},{"name":"AWS","optional":true},{"name":"DHCP","optional":true},{"name":"DNS","optional":true},{"name":"Machine Learning","optional":true},{"name":"TCP/IP","optional":true}],"status":"live","first_seen_at":"2026-08-22T00:33:11Z","employer_posted_date":"2026-08-22","last_verified_at":"2026-11-03T14:01:37Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":73},"description":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\nIf you'd like to build the world's best AI cloud, join us.\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\nAbout the Role\nFleet Engineering owns the full lifecycle of Lambda's production systems infrastructure - new product introduction, deployment, operation, and reliability of our GPU fleet. We enable the building and running of that infrastructure with speed, ease, and quality. The Fleet Engineering teams:\nHPC Deployments - Turns bare metal into production-ready capacity: ensure firmware leveling, system burn-in to shake out early failures, and validation of server performance and correctness, through to the InfiniBand fabric and GPU clusters.\n\nFleet Reliability - Day-2 operations across the fleet. Keeps systems healthy and keeps as much of the fleet in service for as much of its useful life as possible.\n\nFleet Orchestration / Data - Owns our production source of truth system. Synchronizes data from upstream systems and holds the line on correctness and quality, because everything automated downstream depends on it.\n\nFleet Orchestration / Automation - Owns the workflow orchestration system which people use to safely work on fleet systems for workflows that include: locking hosts, running firmware leveling jobs, OS installs, burn-in and validation, and reporting on work in flight and its results.\n\nFleet Foundation - Builds the host enablement tooling systems: OS and ZTP switch provisioning, firmware management, out-of-band access, and power management.\n\nThe work is highly cross-functional, carries executive visibility, and has a direct impact on Lambda and our customers. Fleet Engineering is at the forefront of delivering on-time, high-quality GPU capacity while driving efficiency at scale.\nWe are hiring multiple Engineering Managers for the following teams: Fleet Reliability, HPC Deployments, Fleet Foundation, Fleet Orchestration / Automation. This is a single application for all of them: you apply once, we get to know you, and we match you to the team where your strengths land best.\nWe value diverse backgrounds, experiences, and skills, and we're excited to hear from candidates who bring a unique perspective. If you don't exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.\nWhat You'll Do\nLead and grow a distributed team of top-talent engineers responsible for the deployment and operation of production systems infrastructure.\n\nWork cross-functionally to deliver projects and deployments on time, ensuring alignment across stakeholders.\n\nIdentify opportunities for efficiency gains in the tools, processes, and automation that teams across the organization rely on day to day.\n\nGive stakeholders clear visibility into project progress, risks, and outcomes.\n\nParticipate in qualification efforts for new technologies entering our production deployments.\n\nDrive outcomes by managing staff allocation, project priorities, deadlines, and deliverables.\n\nHold regular 1:1s, give constructive feedback, and support career development for your team.\n\nContribute to reliability through participation in our Incident Management and Review programs.\n\nYou\nHave 3+ years leading or managing engineers, in AI/ML infrastructure or another large-scale compute environment.\n\nHave owned production systems with real SLAs, and can balance keeping things running against long-term, high-impact work - paying down toil and technical debt along the way.\n\nWork confidently in Linux and can debug across the OS, hardware, and networking layers.\n\nCan lead technical design on medium-to-large efforts: take an ambiguous problem, write the doc, drive alignment across teams, and ship.\n\nWork well under deadlines and structured project plans, and can tactfully negotiate changes to timelines when reality demands it.\n\nCollaborate effectively with peer engineering managers on efforts that cut across deployment and operations.\n\nBuild high-performing teams deliberately - through hiring, upskilling, planned skills redundancy, performance management, and clear expectations.\n\nHave excellent problem-solving and troubleshooting instincts.\n\nAre excited about working at the intersection of hardware, software, and physical datacenter builds.\n\nLeave systems, and the teammates around you, better than you found them.\n\nNice to Have\nDepth in any one of these is a strong signal, and helps us place you on the right team. Nobody has all of them.\nLinux systems administration, TCP/IP networking, automation, and scripting.\n\nBare metal provisioning and lifecycle management - PXE, Redfish, IPMI, BMC, DHCP, DNS.\n\nStrong coding ability in at least one language, plus comfort with APIs, distributed systems, and automation pipelines.\n\nThe technologies underpinning our cloud business: GPU acceleration, virtualization, cloud computing.\n\nDatacenter physical infrastructure: racks, switches, InfiniBand fabric, power domains.\n\nNetwork source-of-truth or DCIM tooling (NetBox or similar), and data quality practice at scale.\n\nBuilding Linux distributions, or managing OS customization and imaging.\n\nIncorporating AI-assisted development tools into engineering workflows - code generation, debugging, test development, documentation.\n\nCustomer awareness, empathy, and diplomacy.\n\nBachelor's degree or equivalent experience in a technical field.\n\nSalary Range Information\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\nAbout Lambda\nFounded in 2012, with 500+ employees, and growing fast\n\nOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","description_format":"text","description_chars":7285,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","Servers & Data Center Hardware","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-08-22T00:33:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 19","filings_12m":19,"filings_prev_12m":7,"green_card_filings_12m":0,"median_offered_wage_usd":267500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":2}],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.747,"p_room":0.36,"age_days":73,"expected_fill_days":48,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":440000,"is_top_pay":true},"html_url":"https://alion.io/job/lambda-engineering-manager-fleet-engineering","json_url":"https://alion.io/job/lambda-engineering-manager-fleet-engineering.json","meta":{"generated_at":"2026-11-03T17:19:21Z","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":24138,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":32991},"rest":"https://alion.io/mcp/rest/get_company?id=32991"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flambda-engineering-manager-fleet-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%2Flambda-engineering-manager-fleet-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%2Flambda-engineering-manager-fleet-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/lambda-engineering-manager-fleet-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flambda-engineering-manager-fleet-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":75132}},{"tool":"search_jobs","arguments":{"company":"lambda.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":75132},"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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