{"id":59389,"url":"https://alion.io/job/lambda-senior-site-reliability-engineer-fleet","title":"Senior HPC Engineer - 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":93,"open_postings":7,"ghost_share":0,"stale_share":0.286,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","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","Bellevue, United States","San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":227000,"max":356000,"currency":"USD","period":"year","gross":null,"usd_annual":356000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ClickHouse","optional":false},{"name":"Configuration Management","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Linux","optional":false},{"name":"NCCL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"AWS","optional":true},{"name":"Chaos Engineering","optional":true},{"name":"DeepSpeed","optional":true},{"name":"Docker","optional":true},{"name":"ISO 27001","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"PyTorch","optional":true},{"name":"SOC 2","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-08-14T21:12:16Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-17T17:07:59Z","board_verified":true,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"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.\nWhat You’ll Do\nBuild and operate monitoring and alerting for cluster health - fabric, GPU, power/thermal, and job-level signals - to detect and respond to issues proactively\n\nRemotely deploy and configure large-scale HPC clusters for AI workloads using automation wherever possible\n\nAutomate cluster lifecycle: operating systems, firmware, drivers, and networking, managed as code (Ansible, Terraform) rather than by hand\n\nCreate runbooks and automated remediations for common cluster failure modes, designed so Support and HPC Support can run them safely\n\nTroubleshoot and resolve cluster issues across InfiniBand/RoCE, NCCL, GPU-direct, fabric, switching, and power - working closely with on-site deployment teams\n\nParticipate in on-call rotations and lead incident response for cluster-level problems\n\nContribute to and maintain Standard Operating Procedures, and feed clear requirements back to other engineering teams on simplification, stability, and operational efficiency\n\nYou\n7+ years of experience in Site Reliability Engineering, HPC Engineering, DevOps, or a similar role\n\nHave a strong understanding of modern AI infrastructure, from GPU architectures to hardware performance optimization\n\nStrong understanding of Linux-based systems in a distributed environment\n\nAre experienced configuring and troubleshooting InfiniBand (IB), RoCE, CLOS fabrics, 100GbE, Ethernet/switching, GPU-direct, and NCCL environments\n\nSolid understanding of Python and Go, with experience working with SWE teams to improve internal tooling.\n\nExperience with monitoring and alerting tools (e.g., Prometheus, Grafana, Clickhouse)\n\nProficiency in automation and configuration management tools (e.g., Ansible, Terraform)\n\nHave excellent problem-solving and troubleshooting skills and an innate attention to detail\n\nPassion for continuous improvement and innovation\n\nNice to Have\nExperience with machine learning / deep learning frameworks (PyTorch, TensorFlow) and benchmarking tools (DeepSpeed, MLPerf)\n\nKnowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)\n\nExperience building and/or operating HPC resources.\n\nDepth in the NVIDIA hardware and firmware ecosystem\n\nExperience with data center power and thermal design\n\nBackground in chaos engineering or similar reliability testing methodologies\n\nUnderstanding of compliance frameworks (SOC 2, ISO 27001, etc.)\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":4221,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"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":"2026-08-14T21:12:16Z"}],"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":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":11}],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.793,"p_room":0.44,"age_days":63,"expected_fill_days":45,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":356000,"is_top_pay":true},"html_url":"https://alion.io/job/lambda-senior-site-reliability-engineer-fleet","json_url":"https://alion.io/job/lambda-senior-site-reliability-engineer-fleet.json","meta":{"generated_at":"2026-10-17T19:29:53Z","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":2751,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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-senior-site-reliability-engineer-fleet"},{"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-senior-site-reliability-engineer-fleet"},{"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-senior-site-reliability-engineer-fleet"},{"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-senior-site-reliability-engineer-fleet\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flambda-senior-site-reliability-engineer-fleet"}]}