{"id":1822771,"url":"https://alion.io/job/yondu-physical-ai-infrastructure-engineer","title":"Physical AI Infrastructure Engineer","company":{"id":2673,"name":"Yondu","domain":"yondu.ai","url":"https://alion.io/company/yondu","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"Git","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Inverse Kinematics","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"ROS","optional":false},{"name":"Teleoperation","optional":false}],"status":"live","first_seen_at":"2026-10-04T07:36:28Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-06T02:12:56Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Full-time · Yondu AI\nYondu builds software that turns off-the-shelf robots into autonomous warehouse labor. We’re looking for a hands-on engineer to build and improve the tools that connect our hardware, AI models, and real-world operations.\nYour work will span robot control, teleoperation, data annotation, and prototype hardware testing. You’ll investigate new ideas, measure what works, and turn promising experiments into tested, reusable software that other engineers can build on.\nAs we introduce new hardware, warehouse tasks, and models, you’ll own the development and continued improvement of our R&D tools and experimental systems. You’ll work closely with our AI and production engineers, who will carry validated capabilities through production integration and deployment.\nWhat you’ll work on\nImprove our data annotation pipeline. Clean up existing workflows, improve data validation and labeling tools, and make it easier to turn robot demonstrations and deployment data into useful training datasets.\n\nMaintain and improve teleoperation software. Improve how operator inputs translate into robot behavior, including action smoothing, motion mapping, responsiveness, and debugging tools.\n\nDevelop and evaluate manipulation capabilities. Work with inverse kinematics and motion control for new arms, including 7-DoF redundancy, elbow clearance, camera visibility, and compliant grasping.\n\nTest prototype hardware. Write CAN communication and hardware test code for new R&D systems. Evaluate whether AMR base, lift, arm, and gripper interfaces provide the control, feedback, and timing needed for new behaviors.\n\nMake hardware changes easier. Build calibration tools and model input/action adapters that help us move between different arms, grippers, and cameras.\n\nVerify real task outcomes. Work with the AI team to detect whether a task actually succeeded, investigate false success signals, and evaluate rewards against physical results.\n\nMeasure what improved. Build repeatable tests that isolate the effects of model, controller, and hardware changes.\n\nKeep R&D work reusable. Bring experimental branches into a shared codebase with clear interfaces, versioned configurations, tests, and documentation so other engineers can reproduce and extend the work.\n\nWhat we’re looking for\nStrong software engineering skills in Python and C++, with experience writing and debugging code that interacts with physical hardware.\nA strong understanding of robotic kinematics, coordinate frames, inverse kinematics, and motion control.\nHands-on experience with robot arms, teleoperation, or related robotic systems.\nExperience writing and debugging CAN communication with actuators or other hardware.\nThe ability to design useful experiments, define success criteria, and diagnose problems across software and hardware.\nGood engineering habits: readable code, practical tests, clear documentation, and comfort integrating work across Git branches.\nComfort taking an open-ended problem from an initial prototype to a reliable tool that teammates can use.\nHelpful experience\nRobotics data pipelines, annotation tools, or dataset quality evaluation.\nRobot learning, imitation learning, reinforcement learning, or model evaluation.\nROS/ROS 2, robot calibration, redundant manipulators, or force and compliance control.\nExperience with cloud providers\nYou’ll have direct ownership of tools that shape how quickly we can test new ideas and bring new robot capabilities into real warehouse workflows.","description_format":"text","description_chars":3495,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Logistics & Warehouse Robotics","Robotic Software & Control Systems"],"lifecycle":[{"event":"open","at":"2026-10-04T07:36:28Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":162500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":35,"reasons":["conf:0","win:early"],"computed_at":"2026-10-05T05:45:15Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/yondu-physical-ai-infrastructure-engineer","json_url":"https://alion.io/job/yondu-physical-ai-infrastructure-engineer.json","meta":{"generated_at":"2026-10-06T02:29:55Z","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","counted_by":"address","units_charged":1,"used_today":3837,"day_limit":5000,"remaining_today":1163,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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":2673},"rest":"https://alion.io/mcp/rest/get_company?id=2673"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fyondu-physical-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%2Fyondu-physical-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%2Fyondu-physical-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/yondu-physical-ai-infrastructure-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fyondu-physical-ai-infrastructure-engineer"}]}