{"id":4060134,"url":"https://alion.io/job/120ft-robot-learning-engineer","title":"Robot Learning Engineer","company":{"id":4532555,"name":"120ft","domain":"120ft.com","url":"https://alion.io/company/120ft","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Robotics","role_family":"Robotics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Digital Twin","optional":false},{"name":"Embodied AI","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Isaac Lab","optional":false},{"name":"Isaac Sim","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MuJoCo","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"ROS2","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"World Models","optional":false},{"name":"Teleoperation","optional":true}],"status":"live","first_seen_at":"2026-09-24T19:59:39Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-11-11T08:06:19Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Snapshot\nThe mission of 120ft Factory is to start the new western industrial revolution. We are building the essential infrastructure to close the \"Physical AI Deployment Gap.\" Our core thesis is that making agentic AI work at scale requires pairing cutting-edge, stochastic generative models with strict, deterministic execution.\nDescription\nAs the Systems & Simulation Engineer, you are the architect of our digital twin platform and the stochastic, agentic layer that runs on top of it. You own the layer where three things meet: the deterministic supervisor that orchestrates the factory, the learned policies that drive manipulation and motion, and the live physical state of real robots in production. Your job is to design how all of that fits together, and to build the ML training infrastructure that fills the twin with competent policies.\nWorking hand-in-hand with our Systems Engineering team (who define the safety-state execution contracts), you will design the architecture that connects complex, real-world assembly processes to LLM-driven task planning, humanoid locomotion, and semantic reasoning. Your work also minimizes the sim-to-real gap, ensuring our AI explores logic and learns within realistic contact dynamics before those policies are admitted to physical hardware.\nResponsibilities\nArchitect and maintain closed-loop digital twins (using NVIDIA Isaac Lab/Sim or MuJoCo) that act as both generative orchestrators and physical training environments for VLA policies.\n\nMap physical and logical flows across the system, co-optimizing humanoid locomotion, skills for dexterous manipulation, and part routing to resolve deadlocks in a dense micro-factory space.\n\nInterface directly with the deterministic supervisor layer, ensuring that the stochastic skills and task graphs generated by your models cleanly map to the strict safety-state envelopes enforced on the shop floor.\n\nPioneer cutting-edge AI and coding paradigms-integrating emerging World Models and LLM-driven agents for semantic scene understanding, zero-shot task planning, and emergent logic exploration.\n\nWrite high-performance Python/C++ infrastructure to support imitation learning, reinforcement learning, and automated synthetic data generation pipelines.\n\nTackle the 'sim-to-real' gap directly, modeling accurate contact dynamics and physical interactions to ensure policies survive in the reality of atoms.\n\nRequirements\nPh.D. or Master's degree in Robotics, AI, Computer Science, Engineering, or a related field.\n\nProgramming skills in Python and C++, with hands-on experience in ROS2 and modern physics simulators (NVIDIA Isaac Sim/Lab, MuJoCo).\n\nProven experience applying machine learning (Reinforcement Learning, Imitation Learning, Embodied AI, or World Models) to multi-robot systems, locomotion, or complex manipulation tasks.\n\nA demonstrated history of building complex digital twins, simulations, or automated orchestration architectures from the ground up.\n\nPreferred Qualifications\nYou view the simulation not just as a visualizer, but as a rigorous contact-dynamics training ground and a generative logic engine.\n\nExperience integrating vision-language or foundation models into robotic control loops (e.g., using LLMs for proactive human-robot collaboration or task reasoning).\n\nFamiliarity with coordinating both mobile bases (locomotion) and upper-body arms (manipulation) within shared spatial constraints.\n\nYou have practical 'battle scars' from sim-to-real transfer and dealing with the realities of deployed systems (latency, degraded channels, teleoperation fallback).\n\nYou are a pragmatic builder obsessed with state-of-the-art AI, prioritizing rapid iteration over writing \"perfect\" code.\n\nCompensation\nWe offer a top-tier Stockholm salary combined with a significant, early-stage equity grant as part of the founding team. We believe in rewarding our core builders as true owners of the business.","description_format":"text","description_chars":3916,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"Sweden","iso":"SE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-11T08:06:19Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.435,"p_room":0.45,"age_days":47,"expected_fill_days":30,"reasons":["conf:2","win:tail"],"computed_at":"2026-11-11T10:32:41Z"},"pay":null,"html_url":"https://alion.io/job/120ft-robot-learning-engineer","json_url":"https://alion.io/job/120ft-robot-learning-engineer.json","meta":{"generated_at":"2026-11-11T10:32:41Z","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":18094,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":4532555},"rest":"https://alion.io/mcp/rest/get_company?id=4532555"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2F120ft-robot-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2F120ft-robot-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2F120ft-robot-learning-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/120ft-robot-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2F120ft-robot-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4060134}},{"tool":"search_jobs","arguments":{"company":"120ft.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4060134},"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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