{"id":197439,"url":"https://alion.io/job/elevenlabs-hpc-infrastructure-engineer-gpu-clusters","title":"HPC Infrastructure Engineer - GPU Clusters","company":{"id":266,"name":"ElevenLabs","domain":"elevenlabs.io","url":"https://alion.io/company/elevenlabs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":46,"ghost_share":0.043,"stale_share":0.174,"repost_share":0.109,"time_to_fill_p50_days":60,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","GB","BG","PL"],"hiring_countries_total":4,"salary":null,"salary_estimate":{"min_usd":133000,"max_usd":296000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Bash","optional":false},{"name":"CUDA","optional":false},{"name":"ElevenLabs","optional":false},{"name":"InfiniBand","optional":false},{"name":"Linux","optional":false},{"name":"NCCL","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-03T13:13:09Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-29T03:16:35Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":54},"description":"About ElevenLabs\nElevenLabs is an AI research and product company transforming how we interact with technology.\nWe launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.\nWe have expanded from voice into three main platforms:\nElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.\n\nElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.\n\nElevenAPI gives developers access to our leading AI audio foundational models.\n\nEverything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.\nHow we work\nHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.\n\nImpact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.\n\nAI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations.\n\nExcellence everywhere: Everything we do should match the quality of our AI models.\n\nGlobal team: We prioritize your talent, not your location.\n\nWhat we offer\nInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.\n\nGrowth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.\n\nLearning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.\n\nSocial travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.\n\nAnnual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.\n\nCo-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.\n\nAbout the role\nEvery model we train runs on infrastructure this role owns. We operate NVIDIA GPU clusters across bare metal and rented capacity, and we're looking for an engineer to join our small research infrastructure team and make that compute fast, reliable, and boring - in the best sense. When the clusters just work, research moves faster. Your impact is measured directly in training throughput and researcher velocity.\nThis is a builder-operator role with real breadth: one week you're writing automation that eliminates a whole class of manual work, the next you're benchmarking a new provider's InfiniBand fabric or on-site bringing new hardware online. You'll have unusual scope and autonomy - we're a lean team where decisions are made by the people closest to the problem.\nWhat you’ll be doing\nOperate and improve our GPU fleet end to end: provisioning, scheduling, monitoring, upgrades, capacity planning\n\nBuild automation that keeps the fleet healthy without human intervention - node health checks, automated draining and remediation, burn-in pipelines for new capacity\n\nOwn the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE)\n\nRun and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast\n\nBuild and maintain high-performance storage for datasets and checkpoints\n\nHunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs - and fix the class of problem, not just the instance\n\nEvaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs\n\nHands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors\n\nKeep clusters secure by default: access control, network isolation, secrets\n\nRequirements\nHave run large-scale Linux server or GPU environments in production and enjoy both building and operating\n\nKnow the NVIDIA stack well - drivers, CUDA, NCCL, DCGM - or have deep systems experience and learn hardware stacks fast\n\nAre comfortable with bare-metal environments, server hardware, and high-speed networking\n\nWrite solid automation in Python and/or Bash, with IaC tools like Ansible or Terraform\n\nAre happy digging into noisy data (metrics, logs, PromQL) to find what's actually wrong\n\nLike owning real scope end to end and being the person others rely on\n\nDon't consider any task above or beneath you - datacenter trips included\n\nNice to have\nExperience supporting ML training workloads from the infra side (distributed training failure modes, checkpointing patterns)\n\nExperience evaluating and working with GPU cloud providers\n\nParallel filesystems (WEKA, VAST, etc) or large-scale object storage\n\nBMC/IPMI/Redfish automation, PXE provisioning at scale\n\nPower and cooling awareness for dense GPU deployments\n\nLocation\nThis role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.\nWe are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.","description_format":"text","description_chars":5815,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Bulgaria","iso":"BG","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Conversational AI","Speech & Audio AI","Generative Audio & Music"],"lifecycle":[{"event":"open","at":"2026-09-03T15:54:24Z"},{"event":"close","at":"2026-10-09T17:43:03Z"},{"event":"reopen","at":"2026-10-20T02:16:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":182500,"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":5}],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":1,"p_active":0.786,"p_room":0.6,"age_days":54,"expected_fill_days":60,"reasons":["conf:0","velocity","win:late","crowd:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/elevenlabs-hpc-infrastructure-engineer-gpu-clusters","json_url":"https://alion.io/job/elevenlabs-hpc-infrastructure-engineer-gpu-clusters.json","meta":{"generated_at":"2026-10-29T05:00:07Z","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":7758,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":266},"rest":"https://alion.io/mcp/rest/get_company?id=266"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Felevenlabs-hpc-infrastructure-engineer-gpu-clusters"},{"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%2Felevenlabs-hpc-infrastructure-engineer-gpu-clusters"},{"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%2Felevenlabs-hpc-infrastructure-engineer-gpu-clusters"},{"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/elevenlabs-hpc-infrastructure-engineer-gpu-clusters\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felevenlabs-hpc-infrastructure-engineer-gpu-clusters"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":197439}},{"tool":"search_jobs","arguments":{"company":"elevenlabs.io","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":197439},"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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