{"id":127298,"url":"https://alion.io/job/thinking-machines-lab-ai-infrastructure-engineer","title":"Site Reliability Engineer, Post Training","company":{"id":14382,"name":"Thinking Machines Lab","domain":"thinkingmachines.ai","url":"https://alion.io/company/thinking-machines-lab","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":300000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Linux","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SRE","optional":false},{"name":"DPO","optional":true},{"name":"InfiniBand","optional":true},{"name":"Kubernetes","optional":true},{"name":"NCCL","optional":true},{"name":"PPO","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Ray","optional":true},{"name":"Reward Modeling","optional":true},{"name":"RLHF","optional":true},{"name":"SLURM","optional":true},{"name":"TPU","optional":true}],"status":"live","first_seen_at":"2026-08-27T01:15:48Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-21T12:39:02Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"About Thinking Machines\nThe mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.\nAbout the Role\nWe're hiring a Site Reliability Engineer (SRE) to keep our post-training and reinforcement learning (RL) systems fast, reliable, and easy for researchers to iterate on. Think of this as a production engineering or site reliability role built around model training: you'll own the health of the training runs, clusters, and pipelines that power post-training and RL at Thinking Machines.\nYou'll work side by side with research teams during active model runs - debugging failures in real time, hardening infrastructure against the next class of problem, and building the tooling and automation that let researchers spend their time on the science instead of babysitting jobs. This role has real ownership: you'll be the person a research team calls when a run stalls at 2am, and the person who makes sure it doesn't happen again.\nWhat You’ll Do\nOwn the reliability, performance, and uptime of large-scale post-training and RL training jobs, from launch through completion\n\nPartner directly with research teams during active model runs, embedding with them to unblock training and speed up iteration\n\nDebug failures across the full stack - accelerators, networking, storage, schedulers, and training frameworks - and drive issues to root cause\n\nBuild monitoring, alerting, and automated recovery so runs self-heal or fail fast instead of silently stalling\n\nImprove checkpointing, fault tolerance, and job scheduling so hardware failures cost minutes, not days of compute\n\nBuild internal tools that reduce toil and improve cluster utilization across post-training and RL workloads\n\nParticipate in an on-call rotation supporting production model runs\n\nWrite postmortems and turn recurring failure patterns into permanent infrastructure fixes\n\nSkills & Qualifications\nMinimum Qualifications\n4+ years of experience as a production engineer, site reliability engineer, or infrastructure engineer operating large-scale distributed systems in production\n\nTrack record debugging complex failures across distributed systems - networking, hardware, kernel, or scheduler issues\n\nStrong software engineering skills in Python and/or Go/C++, with the judgment to know when to script a fix versus build a system\n\nSolid grounding in Linux systems internals and networking fundamentals\n\nComfortable owning production systems, including participating in on-call rotations\n\nPreferred Qualifications\nExperience operating GPU or TPU training clusters at scale\n\nFamiliarity with post-training and RL techniques (e.g., RLHF, PPO, DPO) and the infrastructure challenges specific to them, such as reward model serving, rollout generation, and mixed training/inference workloads\n\nExperience with distributed training frameworks (e.g., PyTorch, Ray) and job schedulers (e.g., Slurm, Kubernetes)\n\nExperience with high-performance networking (e.g., InfiniBand, RDMA, NCCL) and its role in distributed training performance\n\nExperience building observability tooling purpose-built for ML training, not just general infrastructure\n\nA track record of thriving in fast-changing, research-driven environments where priorities shift with the science\n\nLogistics\nLocation: This role is based in San Francisco, CA.\n\nCompensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000- $350,000 USD.\n\nVisa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.\n\nBenefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.","description_format":"text","description_chars":4031,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Parental leave","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Multimodal AI","Foundation Models","AI Research Labs","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-08-27T01:15:48Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 30","filings_12m":30,"filings_prev_12m":8,"green_card_filings_12m":0,"median_offered_wage_usd":192500,"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":7}],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.648,"p_room":0.45,"age_days":55,"expected_fill_days":29,"reasons":["conf:2","velocity","win:tail"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":350000,"is_top_pay":true},"html_url":"https://alion.io/job/thinking-machines-lab-ai-infrastructure-engineer","json_url":"https://alion.io/job/thinking-machines-lab-ai-infrastructure-engineer.json","meta":{"generated_at":"2026-10-21T12:46:42Z","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":18062,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":14382},"rest":"https://alion.io/mcp/rest/get_company?id=14382"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthinking-machines-lab-ai-infrastructure-engineer"},{"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%2Fthinking-machines-lab-ai-infrastructure-engineer"},{"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%2Fthinking-machines-lab-ai-infrastructure-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/thinking-machines-lab-ai-infrastructure-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthinking-machines-lab-ai-infrastructure-engineer"}]}