{"id":181843,"url":"https://alion.io/job/yondu-robot-swe","title":"Robot SWE","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":"Backend","role_family":"Backend","seniority":"junior","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":"Autonomous Navigation","optional":false},{"name":"Bash","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Linux","optional":false},{"name":"Motion Planning","optional":false},{"name":"Obstacle Avoidance","optional":false},{"name":"Python","optional":false},{"name":"ROS2","optional":false},{"name":"Teleoperation","optional":false},{"name":"Ubuntu","optional":false},{"name":"Sensor Fusion","optional":true},{"name":"SLAM","optional":true}],"status":"live","first_seen_at":"2026-08-31T20:26:40Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T10:09:43Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"About the role\nAs one of our early junior engineers, you'll write software that runs on real robots in customer warehouses. You'll work across the stack - navigation, perception, teleoperation, and the integrations that connect our robots to warehouse management systems - and you'll be on the floor helping bring deployments live at client sites. You'll be paired with senior roboticists who will mentor you, review your code, and hand you real ownership fast. This is a hands-on role for someone who is energized by physical hardware and wants to grow quickly.\nWhat you'll do\nDevelop and improve features across our ROS2 stack in C++ and Python - navigation, mapping and localization, perception, and motion behaviors and ship them to robots running on NVIDIA Jetson and Custom Platforms.\nTune and debug autonomous navigation and obstacle avoidance so Robots move safely and efficiently through dynamic, human-occupied warehouse aisles.\nBuild and improve teleoperation and human-in-the-loop tooling that lets operators monitor, assist, and recover robots remotely.\nContribute to integrations between our robots and warehouse management systems so tasks flow correctly between the WMS and the fleet.\nContainerize and deploy software with Docker across our fleet, and help commission and troubleshoot robots on-site at warehouse deployments.\nOwn features end-to-end; from prototype, through testing, to reliable behavior on real hardware and feed what you learn in the field back into the product.\nWhat we're looking for (must-haves)\n0-2 years of experience (internships, research, and robotics competition teams count) building software, ideally in robotics, autonomous systems, or another physical/hardware domain.\nBS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field or equivalent hands-on project experience.\nWorking proficiency in C++ and Python.\nComfort in a Linux/Ubuntu command-line environment and with Git in a team setting.\nGenuine interest in how software meets hardware (sensors, motors, embedded compute like Jetson/Raspberry Pi), demonstrated through projects, internships, or competition teams in areas like computer vision, autonomous navigation, or motion planning.\nHands-on experience with ROS2 (or a similar pub/sub middleware) a strong candidate from a ROS1 or custom-middleware background can ramp quickly.\nExposure to real robot hardware deployment, or to WMS/logistics/warehouse systems.\nNice to haves\nExperience with Docker or other containerization.\nRobotic Manipulation\nCoursework or projects in SLAM, perception/computer vision, motion planning, or sensor fusion.\nA Master's degree in a robotics-related field is a plus, but is not required or expected.\nWhy you'll want to work here\nReal robots, real production: your code runs on robots doing real work in real warehouses, not just in simulation.\nOwnership: you'll own meaningful features early and see them through to the field.\nMentorship: you'll learn directly from senior roboticists who care about growing you.\nHardware access: hands-on time with AMRs, Humanoid Robots, manipulators, high powered compute, and a full sensor suite.\nLogistics\nOn-site in the LA area, with regular time at customer warehouse sites for 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