Lead AI Research Engineer, Embodied Systems at RoboForce

<div data-page-id="SQebduWNJoyXdvxrW44lL7ssgEf" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-doxlgchX2cYRom77PSVoH6eHFgg"><strong>Why RoboForce</strong></div> <div class="ace-line ace-line old-record-id-doxlg1VnlafGpdFqWBAW01sZWZe">RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.</div> <div class="ace-line ace-line old-record-id-doxlgvEucNF4deL9hNLkKgRXFxg">&nbsp;</div> <div class="ace-line ace-line old-record-id-doxlgvEucNF4deL9hNLkKgRXFxg">We are looking for a <strong>Lead AI Research Engineer, Embodied Systems</strong>&nbsp;to lead and own the engineering of the systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full embodied systems stack — the onboard AI system, the data collection system, the teleoperation systems, and the on-robot reinforcement learning system — driving the direction hands-on and closing the loop between data, models, and action in the physical world.</div> <div class="ace-line ace-line old-record-id-doxlgOmrPJTfmTSp6IaFsjGeAge">&nbsp;</div> <div class="ace-line ace-line old-record-id-doxlgOmrPJTfmTSp6IaFsjGeAge"><strong>Responsibilities</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-doxlg10sCCUGyisxAKLIcRCienc" data-list="bullet"> <div>Lead and own, from the engineering side, the embodied systems that power RoboForce's data flywheel — the onboard AI (inference) system, the data collection system, the teleoperation systems and the on-robot reinforcement learning system.</div> </li> <li class="ace-line ace-line old-record-id-doxlgxIc116HWACFuydm6aI2nKd" data-list="bullet"> <div>Set the technical direction and architecture for how learned models run, are evaluated, and improve on real robots.</div> </li> <li class="ace-line ace-line old-record-id-doxlgJahH9oL3YYYRAZS44Z2dTg" data-list="bullet"> <div>Deliver these systems end-to-end on physical robots — from bring-up through reliable, real-time operation in demanding industrial environments.</div> </li> <li class="ace-line ace-line old-record-id-doxlgZzobl91P9HjvZ6yHHybUob" data-list="bullet"> <div>Own on-robot deployment and closed-loop evaluation of policies, turning real-world performance into measurable improvements.</div> </li> <li class="ace-line ace-line old-record-id-doxlg0M2Nkdysd9WreBjWVlHpJc" data-list="bullet"> <div>Partner with and influence the robotics software team and the ML research team to align interfaces and priorities across the stack.</div> </li> <li class="ace-line ace-line old-record-id-doxlgwmmKRgBQwoZOyCQOY7zUg5" data-list="bullet"> <div>Grow the direction — mentor engineers and raise the technical bar for embodied systems work.</div> </li> </ul> <div class="ace-line ace-line old-record-id-doxlgQJR25B64WQN8DBJfRLLmFb"><strong>Requirements</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-doxlgrpnCp32l9befd7hSQM6Rub" data-list="bullet"> <div>Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field with significant relevant experience, or a PhD degree.</div> </li> <li class="ace-line ace-line old-record-id-doxlgTXGuQ3s1NaoCaYtdXR2nUh" data-list="bullet"> <div>Track record of leading complex robotic or embodied systems end-to-end and setting technical direction for other engineers.</div> </li> <li class="ace-line ace-line old-record-id-doxlgJzJQ5Tji1sJxGF7xrYxhPg" data-list="bullet"> <div>Strong proficiency in both C++ and Python, with solid systems programming and real-time / performance-critical engineering skills.</div> </li> <li class="ace-line ace-line old-record-id-doxlgoRNuWmBPzkr6aqpDybjgMh" data-list="bullet"> <div>Hands-on experience with ROS/ROS2 and robot middleware, including real-time integration of sensing, control, and compute.</div> </li> <li class="ace-line ace-line old-record-id-doxlg9Kk0cfXlTy2g94FXTZyMGU" data-list="bullet"> <div>Experience integrating and deploying ML models/policies into real-time robotic or autonomous systems — system ownership and building, rather than model training or research.</div> </li> <li class="ace-line ace-line old-record-id-doxlg3Z7fQ66jNAkNXErAOu6NDb" data-list="bullet"> <div><strong>Requires 5 days/week in-office collaboration with the teams.</strong></div> </li> </ul> <div class="ace-line ace-line old-record-id-doxlgveO1r2LDaVtjyTTZSaNAlh"><strong>Bonus Qualifications</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-doxlgWZCRh6jp5S8zrHwPsqFPwe" data-list="bullet"> <div>Experience with teleoperation and data-collection systems (e.g., VR, UR, GELLO, UMI) and the challenges of collecting high-quality robot data at scale.</div> </li> <li class="ace-line ace-line old-record-id-doxlgHgNMdpJZCB6V4yehVpiBcK" data-list="bullet"> <div>Experience with on-robot reinforcement learning or closed-loop policy-improvement systems.</div> </li> <li class="ace-line ace-line old-record-id-doxlghJlRsdYVbL4SCzaciGuBPh" data-list="bullet"> <div>Familiarity with robot learning policies (VLA, imitation learning, behavior cloning) and their real-time inference and control-integration characteristics.</div> </li> <li class="ace-line ace-line old-record-id-doxlgUlNk5yFU3MY2dK1AAbPV4b" data-list="bullet"> <div>Familiarity with manipulation stacks, whole-body control interfaces, or real-time middleware tuning.</div> </li> </ul> <div class="ace-line ace-line old-record-id-doxlgaD7EsGynLM8vOrEJaaWTIc"><strong>Benefits</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-doxlg2vCWCzPmU9DfCdkgVZdryE" data-list="bullet"> <div>Competitive stock options/equity programs.</div> </li> <li class="ace-line ace-line old-record-id-doxlgyKtk0RATaFxhCcLPctBwFg" data-list="bullet"> <div>Health, dental, and vision insurance, 401(k) plan.</div> </li> <li class="ace-line ace-line old-record-id-doxlgIrrXRhUtaR3Zm3VQVZ9XWh" data-list="bullet"> <div>Visa sponsorship and green card support for qualified candidates.</div> </li> <li class="ace-line ace-line old-record-id-doxlgvvazOgeeJNQ9NqzTatJ1Kd" data-list="bullet"> <div>Lunches and dinners, a fully stocked kitchen, and regular team-building events.</div> </li> </ul> <p>&nbsp;</p> <div data-lark-html-role="root"> <div class="rich-text-paragraph" data-eleid="2"><span class="text-only" data-eleid="3">Compensation: Salary $190,000–$265,000 USD + Bonus + Equity</span></div> <div class="rich-text-paragraph" data-eleid="4">&nbsp;</div> <div class="rich-text-paragraph" data-eleid="5"><span class="text-only" data-eleid="6">The base salary range above represents the expected compensation for this full-time U.S. position. Final compensation will be determined based on role scope, level, location, job-related skills, experience, and relevant education or training, and may fall outside the listed range in exceptional cases.&nbsp;</span></div> </div> </div>