Job Description
Robotics Engineer:
Manipulation Systems and Deployment Honda Research Institute USA San Jose, CA Job Details 3 hours ago Qualifications Robotics implementation projects Model deployment Master of Science Simulation systems Machine learning libraries Machine learning frameworks Debugging Full Job Description Job Number:
P25F02 Honda Research Institute USA (HRI-US) is seeking a highly motivated Robotics Engineer to join our Intelligent Robotics Research Division to develop and deploy robotic manipulation systems using Honda's proprietary hardware platforms, with a focus on bringing advanced manipulation algorithms on real robotic systems. The role requires a strong foundation in both modern machine learning techniques and robotics control. The ideal candidate will have experience implementing robotics algorithms on real-world systems, integrating perception, planning, and control modules, and deploying learning-based or control-based manipulation methods on real robotic hardware. They will bridge the gap between research and real-world deployment by understanding state-of-the-art machine learning approaches and control strategies, and translating them into robust, scalable robotic solutions. This position plays a key role in enabling application-oriented robotics and accelerating the deployment of intelligent manipulation systems in real-world environments. San Jose, CA Key Responsibilities Develop and deploy integrated robotic manipulation algorithms (perception, planning, control, learning) on Honda's proprietary hardware, with a focus on robustness and real-world performance. Debug, evaluate, and optimize robotic manipulation algorithms through experimentation, testing, and failure analysis. Implement and adapt algorithms from research papers (e.g., reinforcement learning, imitation learning, vision-based policies) into practical, deployable solutions. Apply knowledge of robotics control (e.g., kinematics, dynamics, motion control, force/impedance control) together with machine learning to improve manipulation performance. Support sim-to-real validation using simulation tools. Document and support system demos and cross-team development. Collaborate with Honda's global research organizations to align system development, share technical insights, and co-develop robotics capabilities. Minimum Qualifications M.S. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Strong experience with real robotic systems development and deployment. Solid background in robotics control and machine learning for robotics. Proficiency in Python and/or C++, and ROS/ROS2.
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with simulation tools (e.g., Isaac Sim, MuJoCo) Experience integrating full robotic pipelines and debugging real systems. Bonus Qualifications 2+ years of experience with dexterous manipulation, multi-fingered robotic hands, or contact-rich manipulation tasks. Hands-on experience deploying learning-based manipulation policies on real robots. Strong experience with simulation environments and sim-to-real pipelines. Experience with domain adaptation, system identification, or techniques to reduce sim-to-real gaps. Familiarity with tactile sensing, force/torque sensing, or compliant control. Experience working with vision-language models (VLMs) or other foundation models for robotics. Experience working with custom or proprietary robotic hardware systems. Experience working with teleoperation and human-in-the-loop workflows, including interfacing with devices such as gloves or VR systems for control, data collection, and evaluation. Track record of improving robustness and reliability of robotic systems in real environments. Desired Start Date 7/6/2026 Position Keywords Robotics, Systems, Manipulation, Machine Learning, Controls Warning:
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