{"id":2414570,"url":"https://alion.io/job/neura-robotics-gpu-cluster-engineer-human","title":"GPU Cluster Engineer (human)","company":{"id":48149,"name":"NEURA Robotics","domain":"neura-robotics.com","url":"https://alion.io/company/neura-robotics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":157,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Riederich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":170000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2026-04-13T07:38:36Z","employer_posted_date":"2026-04-13","last_verified_at":"2026-10-14T23:57:29Z","board_verified":true,"closed_at":null,"days_open":184,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":183},"description":"Your mission & challenges\nYou are the go-to expert for NEURA's GPU cluster infrastructure - a large-scale AWS HyperPod environment running cutting-edge GPU instances for foundation model training and customer fine-tuning workloads. You design the operational framework, build self-service tooling for ML teams, and work directly with AWS to influence the platform at the hyperscaler level.\n\nYour focus is on cluster engineering and operations - not on ML research itself, but on making sure the people doing that research have rock-solid, efficient, and accessible infrastructure under them.\n\nSetting up, configuring, and continuously evolving NEURA's HyperPod clusters, including HyperPod/Slurm and HyperPod/EKS orchestration models.\n\nDesigning and implementing strategies for cluster stability: node failure detection, automated job recovery, checkpoint coordination, and fault-tolerant multi-node training workflows.\n\nProviding a workload priority management framework that allows multiple teams and use cases like foundation model pretraining, fine-tuning, customer workloads, to share cluster capacity efficiently and fairly.\n\nOptimizing end-to-end GPU utilization: identifying and resolving bottlenecks across compute, GPU memory, EFA networking, and storage throughput.\n\nWorking directly and closely with the AWS HyperPod product and solutions engineering teams, escalating operational issues, sharing learnings from one of the platform's largest deployments, and placing concrete requirements on the roadmap.\n\nProviding self-service tooling that allows ML researchers and engineers to launch, monitor, and manage training jobs independently, without requiring infrastructure intervention for routine operations.\n\nDeveloping onboarding documentation, training materials, and internal workshops that enable users to operate efficiently, follow best practices, and understand cost implications of their workloads.\n\nInfrastructure as Code is a given for you. Every cluster configuration, every operational change, every new environment is code first.\n\nOwning the cost and capacity strategy: Spot instance management, Reserved Instance planning, Savings Plans, and ongoing commitment negotiations with AWS.\n\nWhat we can look forward to\n5+ years of experience in infrastructure or systems engineering, with a strong focus on GPU cluster or HPC operations.\n\nDeep hands-on experience with AWS HyperPod and AWS instances; direct prior experience with HyperPod is a strong differentiator.\n\nSolid understanding of both Slurm and Kubernetes as cluster orchestration layers, and the ability to evaluate their trade-offs for large-scale GPU workloads.\n\nPractical knowledge of distributed training - you understand what affects throughput and how to debug it.\n\nExperience building self-service tooling and operational documentation for technical end users.\n\nYou make complex infrastructure accessible, not just functional.\n\nStrong understanding of cloud cost management at scale: Spot interruption handling, capacity reservations, cost attribution across teams and workloads.\n\nComfort working across organizational boundaries - your primary partners are ML researchers, but you'll also work closely with product, finance, and cloud vendor teams.\n\nStrong English communication skills. German is a plus.","description_format":"text","description_chars":3294,"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":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Collaborative Robots (Cobots)","Humanoid Robots"],"lifecycle":[{"event":"open","at":"2026-10-13T02:53:41Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.149,"p_room":0.28,"age_days":183,"expected_fill_days":28,"reasons":["conf:1","stale_co","win:tail","crowd:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/neura-robotics-gpu-cluster-engineer-human","json_url":"https://alion.io/job/neura-robotics-gpu-cluster-engineer-human.json","meta":{"generated_at":"2026-10-15T02:48:30Z","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":4142,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":48149},"rest":"https://alion.io/mcp/rest/get_company?id=48149"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fneura-robotics-gpu-cluster-engineer-human"},{"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%2Fneura-robotics-gpu-cluster-engineer-human"},{"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%2Fneura-robotics-gpu-cluster-engineer-human"},{"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/neura-robotics-gpu-cluster-engineer-human\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fneura-robotics-gpu-cluster-engineer-human"}]}