{"id":286892,"url":"https://alion.io/job/openmind-robotics-engineer","title":"Robotics Engineer","company":{"id":41134,"name":"OpenMind","domain":"openmind.com","url":"https://alion.io/company/openmind-com","size_band":null,"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":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Motion Planning","optional":false},{"name":"Python","optional":false},{"name":"ROS2","optional":false},{"name":"SLAM","optional":false},{"name":"Isaac Lab","optional":true},{"name":"Isaac Sim","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Vision-Language-Action","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:59:58Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-30T08:23:53Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"The Role\nYou will make robots work. OpenMind supports multiple platforms today, from quadrupeds to full-size humanoids, and now our own robots are here. You will own core autonomy capabilities across perception, SLAM, navigation, and manipulation, and you will bring up new hardware platforms from unboxing to deployment-ready.\nThis is a role for an engineer who wants their code running on physical robots in customer environments, not in a simulator queue.\nWhat You Will Do\nDevelop and harden core autonomy: 3D SLAM and navigation, localization, dynamic obstacle handling, and multi-floor traversal\n\nBring up new robot platforms: sensor integration, calibration, firmware interfaces, and SDK integration across vendors\n\nBuild shared fleet capabilities such as common memory and map sharing so that mapping one robot means mapping the fleet\n\nWork on real-time performance: perception latency, compute budgeting on embedded platforms (NVIDIA Jetson and Thor), and sensor pipelines\n\nSupport deployments by making the software robust to the messiness of real environments: slopes, crowds, poor lighting, and unreliable networks\n\nWhat We Look For\nExperience building software for physical robots, with strong engineering fundamentals in languages such as Python, Go, and/or C++\n\nHands-on depth in at least two of: SLAM, motion planning, perception, manipulation, sensor calibration\n\nExperience with ROS2 and embedded compute platforms\n\nComfort owning problems across the stack, from driver-level issues to high-level behavior\n\nShipped software running on real hardware outside a lab\n\nNice to Have\nExperience with humanoids, quadrupeds, or other form factors such as wheeled robots\n\nExperience building on top of pretrained vision-language-action foundation models and adapting them to new embodiments and tasks\n\nExperience applying reinforcement learning to robot control problems such as locomotion, whole-body control, or manipulation, using frameworks like Isaac Lab or MJLab\n\nFamiliarity with NVIDIA Isaac, GMSL camera pipelines, or real-time middleware\n\nContributions to open-source robotics 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