{"id":3346911,"url":"https://alion.io/job/mercor-ai-infrastructure-engineer","title":"AI Infrastructure Engineer","company":{"id":4960,"name":"Mercor","domain":"mercor.com","url":"https://alion.io/company/mercor","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":15,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-31T05:58:55Z"}},"role":"DevOps","role_family":"DevOps","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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AIOps","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"AWS Trainium","optional":false},{"name":"C++","optional":false},{"name":"Configuration Management","optional":false},{"name":"CUDA","optional":false},{"name":"Datadog","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"KV Cache","optional":false},{"name":"LLM","optional":false},{"name":"Megatron-LM","optional":false},{"name":"NCCL","optional":false},{"name":"NVLink","optional":false},{"name":"Prometheus","optional":false},{"name":"Puppet","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"Ray","optional":false},{"name":"SLURM","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"TPOT","optional":false},{"name":"TPU","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-10-27T15:38:51Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T04:00:14Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Mercor\nMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.\nMercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.\nSummary of role:\nAI Infrastructure Engineer will build and run the GPU and accelerator platform our AI workloads depend on. That covers the clusters and schedulers underneath, training and inference serving on top, and the observability and cost data that tell us how well the fleet is used. The role will write production code every day and own systems end to end, from design through on-call.\nResponsibilities:\nDesign, deploy and operate GPU clusters across AWS, GCP, and other hyperscalers/neoclouds/on-premise data centers, including custom Kubernetes and Slurm operators and the metadata services behind them.\n\nBuild scheduling that keeps accelerators busy: gang scheduling for distributed jobs, bin-packing to reduce fragmentation, and quotas and fair share for multi-tenant teams.\n\nRun distributed training infrastructure on PyTorch Distributed, Ray, or Megatron, with fast checkpointing and model loading.\n\nDeploy and tune high-throughput LLM serving with vLLM or similar: tensor and model/expert parallelism, prefill/decode disaggregation, KV cache offload, FP8/FP4 quantization.\n\nBuild benchmarking and traffic-replay tools that measure TTFT, TPOT and latency percentiles, and set per-config performance baselines.\n\nBuild health checks across hardware, network and software layers, and automated remediation that handles fault storms without human intervention.\n\nInstrument fleet utilization with DCGM, Prometheus and Grafana. Write recording rules and alerts that teams rely on.\n\nIngest utilization, occupancy and billing data into a warehouse, attribute spend to teams and workloads, and support capacity planning.\n\nDrive autoscaling, rightsizing and idle-capacity recovery programs with measurable cost results.\n\nWrite clear runbooks and documentation, and explain infrastructure tradeoffs to researchers, finance and leadership.\n\nBuild internal tools or dashboards that researchers and non-engineers use daily.\n\nSkills Required:\n5+ years building and operating production distributed systems or ML infrastructure (7+ for Staff).\n\nProduction-quality Python plus one of Go or C++.\n\nShell scripting for system administration.\n\nDeep hands-on Kubernetes and containers. Working knowledge of Slurm or another HPC resource manager.\n\nExperience running GPU workloads at scale, including scheduling, orchestration and troubleshooting.\n\nHands-on with at least one distributed training or serving stack: PyTorch Distributed, Ray, vLLM, Megatron-LM.\n\nDeep experience with at least one major cloud provider.\n\nObservability with tools such as DataDog, Prometheus, PromQL and Grafana. Comfortable on-call for critical systems.\n\nOwns projects end to end and gathers their own requirements with little direction.\n\nFamiliarity and/or willing to learn at a deep level the following:\nLLM inference optimization: KV cache systems, disaggregated serving, quantization, speculative decoding.\n\nHigh-performance networking: RDMA, InfiniBand, NCCL, NVLink.\n\nGPU profiling with Nsight or similar. CUDA or Triton kernel work.\n\nAccelerators beyond NVIDIA: AMD MI-series, TPU, Trainium.\n\nCapacity planning, billing normalization or cost attribution across providers.\n\nAutomated fault diagnosis, log mining or AIOps at fleet scale.\n\nConfiguration management (Ansible, Puppet) and secure or air-gapped deployments.\n\nBenefits\nBi-annual performance bonus structure\n\nGenerous equity grant vested over 4 years\n\nUp to $15k Relocation bonus\n\n$10K housing bonus (if you live within 0.5 miles of our office)\n\n$1.5K monthly stipend for meals\n\nFree Equinox membership\n\n$200 monthly laundry reimbursement\n\n$200 monthly personal wellness reimbursement\n\nHealth, Dental, Vision insurance","description_format":"text","description_chars":4657,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Recruiting & Staffing","Freelance & Talent Marketplaces","AI Training Data & Annotation"],"lifecycle":[{"event":"open","at":"2026-10-27T17:28:04Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":65,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/mercor-ai-infrastructure-engineer","json_url":"https://alion.io/job/mercor-ai-infrastructure-engineer.json","meta":{"generated_at":"2026-10-31T06:49:41Z","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":10086,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":4960},"rest":"https://alion.io/mcp/rest/get_company?id=4960"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmercor-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%2Fmercor-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%2Fmercor-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/mercor-ai-infrastructure-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmercor-ai-infrastructure-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3346911}},{"tool":"search_jobs","arguments":{"company":"mercor.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3346911},"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. Docs: https://alion.io/developers"}}