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# Robotics Engineer: Manipulation Systems and Deployment

- **Company:** HONDA RESEARCH INSTITUTE USA
- **Location:** San Jose, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Software Debugging, Python (Programming Language), Machine Learning, Language Modeling, Systems Development Life Cycle, Tensorflow, Robotic Automation Software, Systems Integration, Pytorch, Large Language Models, Deep Learning, Information Technology
- **Published:** May 14, 2026
- **Apply:** https://usa.honda-ri.com/-/robotics-engineer-manipulation-systems-and-deployment?redirect=%2Fassociate-positions

## About the Role

* 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.

## Description

* 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.


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