{"id":15396,"url":"https://alion.io/job/dynarobotics-ml-infrastructure-engineer-training","title":"Research Engineer","company":{"id":4733,"name":"Dyna Robotics","domain":"dynarobotics.com","url":"https://alion.io/company/dynarobotics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":23,"ghost_share":0.13,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-10-16T05:45:00Z"}},"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":["Redwood City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":250000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Accelerate","optional":false},{"name":"AWS","optional":false},{"name":"DeepSpeed","optional":false},{"name":"Embodied AI","optional":false},{"name":"FSDP","optional":false},{"name":"GCP","optional":false},{"name":"HPC","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NCCL","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"SLURM","optional":false},{"name":"TensorRT","optional":false},{"name":"Triton","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-03-31T18:01:04Z","employer_posted_date":"2026-03-31","last_verified_at":"2026-10-16T18:46:12Z","board_verified":true,"closed_at":null,"days_open":199,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":198},"description":"Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.\nThe Role\nMost ML infrastructure work ends at a benchmark. Ours ends at a robot doing real work at a customer site.\nYou'll own our training and inference infrastructure end to end, from the moment robot data lands to the moment a new model runs on hardware. The goal: every GPU busy, every run reproducible, and every researcher's next experiment one command away.\nWhy this is harder than typical ML infra\nThe data is physical: synchronized video, proprioception, and 3D signals from real robots, not clean text.\n\nLatency is physical too: a slow model means a robot that hesitates or misses a grasp.\n\nThe loop is closed: data from deployed robots feeds back into training, and your systems sit at the center of that flywheel.\n\nWhat You’ll Do\nScale distributed training across a multi-cloud GPU fleet using sharding, activation checkpointing, and memory optimization (FSDP, ZeRO).\n\nBuild a research codebase and scheduling system (Kubernetes/SLURM) built for fast iteration, automatic retries, and painless failure recovery.\n\nDesign high-throughput pipelines for terabytes of multimodal robot data so dataloaders never starve the GPUs.\n\nShip low-latency inference for real-time robot control using quantization, distillation, and compilation (TensorRT, Triton).\n\nProfile GPU utilization, I/O bottlenecks, and memory fragmentation to get the most out of every node.\n\nYou'll thrive here if you\nGenuinely care about embodied AI. You follow robot learning research, have opinions about VLAs or world models, or have built something that moves. You want your work to show up in the physical world, not just on a dashboard.\n\nHave 7+ years of engineering experience, including leading projects in HPC or ML infrastructure.\n\nKnow PyTorch and distributed training deeply (DeepSpeed, Accelerate, FSDP), including mixed precision and gradient accumulation.\n\nHave hands-on experience with cloud GPU environments (GCP/AWS) and Kubernetes.\n\nUnderstand distributed systems at a low level: race conditions, memory management, NCCL and inter-node communication.\n\nOwn what you ship: you design, build, and operate systems end to end to unblock fast-moving research.\n\nBonus Points For\nRobotics data formats (MCAP, Protobuf) or multimodal models such as VLAs.\n\nCustom kernels (Triton), compilers, or runtime optimization.\n\nExperience as a founding or early infrastructure hire.\n\nSide projects involving robots, simulators, or hardware.\n\nAtDyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.\n Don’t let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you’re passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.","description_format":"text","description_chars":3340,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Industrial Robotics","Robotic Software & Control Systems","Foundation Models"],"lifecycle":[{"event":"open","at":"2026-03-31T18:01:04Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 7","filings_12m":7,"filings_prev_12m":8,"green_card_filings_12m":0,"median_offered_wage_usd":171786,"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":6}],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.606,"p_room":0.28,"age_days":198,"expected_fill_days":69,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/dynarobotics-ml-infrastructure-engineer-training","json_url":"https://alion.io/job/dynarobotics-ml-infrastructure-engineer-training.json","meta":{"generated_at":"2026-10-16T21:23:01Z","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":2301,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":4733},"rest":"https://alion.io/mcp/rest/get_company?id=4733"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdynarobotics-ml-infrastructure-engineer-training"},{"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%2Fdynarobotics-ml-infrastructure-engineer-training"},{"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%2Fdynarobotics-ml-infrastructure-engineer-training"},{"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/dynarobotics-ml-infrastructure-engineer-training\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdynarobotics-ml-infrastructure-engineer-training"}]}