Real job — pulled straight from RoboForce’s careers page · Verified November 7, 2026 · No reposts.
Job description
RoboForce is hiring a Staff Research Engineer, Robot Learning Systems — a full-time, based in Milpitas, CA role ($225k–$265k). Apply directly on RoboForce's careers page below.
Staff Research Engineer, Robot Learning Systems
Location: Milpitas, CA
Department: AI
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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.
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Set the technical direction and architecture for how learned models run, are evaluated, and improve on real robots.
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Deliver these systems end-to-end on physical robots — from bring-up through reliable, real-time operation in demanding industrial environments.
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Own on-robot deployment and closed-loop evaluation of policies, turning real-world performance into measurable improvements.
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Partner with and influence the robotics software team and the ML research team to align interfaces and priorities across the stack.
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Grow the direction — mentor engineers and raise the technical bar for embodied systems work.
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Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field with significant relevant experience, or a PhD degree.
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Track record of leading complex robotic or embodied systems end-to-end and setting technical direction for other engineers.
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Strong proficiency in both C++ and Python, with solid systems programming and real-time / performance-critical engineering skills.
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Hands-on experience with ROS/ROS2 and robot middleware, including real-time integration of sensing, control, and compute.
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Experience integrating and deploying ML models/policies into real-time robotic or autonomous systems — system ownership and building, rather than model training or research.
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Requires 5 days/week in-office collaboration with the teams.
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Experience with teleoperation and data-collection systems (e.g., VR, UR, GELLO, UMI) and the challenges of collecting high-quality robot data at scale.
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Experience with on-robot reinforcement learning or closed-loop policy-improvement systems.
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Familiarity with robot learning policies (VLA, imitation learning, behavior cloning) and their real-time inference and control-integration characteristics.
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Familiarity with manipulation stacks, whole-body control interfaces, or real-time middleware tuning.
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Competitive stock options/equity programs.
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Health, dental, and vision insurance, 401(k) plan.
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Visa sponsorship and green card support for qualified candidates.
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Lunches and dinners, a fully stocked kitchen, and regular team-building events.
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Frequently asked questions
What is the salary for Staff Research Engineer, Robot Learning Systems at RoboForce?
The estimated salary range for Staff Research Engineer, Robot Learning Systems at RoboForce is $225,000 - $265,000 USD per year.
What skills are required for Staff Research Engineer, Robot Learning Systems at RoboForce?
The required skills for Staff Research Engineer, Robot Learning Systems at RoboForce include: C++, Python, Machine Learning, Robotics, Embedded Systems.
What is the seniority level for Staff Research Engineer, Robot Learning Systems at RoboForce?
Staff Research Engineer, Robot Learning Systems at RoboForce is a Staff level position.
How do I apply for Staff Research Engineer, Robot Learning Systems at RoboForce?
You can view the full description and apply for Staff Research Engineer, Robot Learning Systems at RoboForce on EchoJobs: https://echojobs.io/job/roboforce-staff-research-engineer-robot-learning-systems-csxxe.