Robotics Software Engineer: Simulation and Data Collection

Job Number: P25T02

Honda Research Institute USA (HRI-US) is seeking a Robotics Software Engineer to build and scale high-fidelity manipulation simulation and digital-twin environments that accelerate dexterous manipulation, teleoperation, robotics data collection, and system deployment. The role spans environment authoring, sensor-accurate simulation (vision, tactile, force/torque), teleoperation interfaces, large-scale data collection, and system evaluation. The engineer will work closely with controls, perception, hardware, and research teams to deliver robust, production-ready, sim-to-real validated capabilities. The ideal candidate will have a strong foundation in control and robotics, especially manipulation and dexterous manipulation, and sufficient familiarity with learning-based methods to help researchers rapidly implement and evaluate new ideas in simulation.

San Jose, CA

Key Responsibilities

- Develop robust simulation environments for dexterous manipulation, task prototyping, system
validation, and sim-to-real evaluation.
- Build digital twins of robots, end-effectors, sensors, and workcells for software-in-the-loop and
hardware-in-the-loop testing.
- Simulate vision, tactile, force/torque, and proprioceptive sensors with realistic noise, latency, and
task-relevant physical behavior.
- Support the integration of learning-based methods such as RL, IL, and related approaches into
simulation environments to help researchers prototype and evaluate ideas efficiently.
- Create scalable data collection pipelines for simulation and real-world teleoperation, including
logging, dataset management, quality control, and supporting interfaces.
- Implement teleoperation interfaces and policy-in-the-loop evaluation tools.
- Evaluate simulation fidelity and trained system performance using synthetic and real-world data
collection and manipulation benchmarks.
- Oversee large-scale data collection procedures and help ensure consistency, usability, and quality
of collected data.
- Collaborate with cross-functional robotics, controls, perception, hardware, and research teams
across multiple projects.
- Document results and contribute to internal reports, demos, technical presentations, and
intellectual property.

Minimum Qualifications

- MS or PhD in Robotics, Computer Science, Electrical or Mechanical Engineering, or related field.
- Proficiency in C++ and Python for robotics software development.
- Experience with ROS and robot control stacks.
- Experience building simulation environments, digital twins, or validation infrastructure for robotic
manipulation.
- Experience using modern simulators such as NVIDIA Isaac Sim, MuJoCo, or similar platforms.
- Experience with data collection pipelines in simulation and/or real robotic systems.
- Familiarity with implementation of learning-based methods sufficient to support rapid prototyping
and integration of research ideas into practical simulation workflows.
- Strong foundation in robot kinematics, dynamics, and control.

Bonus Qualifications

• Experience with dexterous or multi-finger robotic hands.
• Whole-hand control, grasp synergies, or in-hand manipulation experience.
• Tactile sensing and tactile simulation experience.
• Experience with teleoperation systems, operator interfaces, or demonstration collection.
• GPU acceleration or large-scale simulation and data collection pipelines.
• Experience defining evaluation metrics and analyzing manipulation performance and sim-to-real gaps.
• Experience developing and implementing model-based and learning-based manipulation systems.
• Publications, patents, or open-source contributions in robotics or manipulation.

Desired Start Date

4/20/2026

Contract Duration

3 years

Position Keywords

Robotic simulation; data collection; learning and control; dexterous manipulation; tactile sensor

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