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# Software Engineer - Dexterous Manipulation

- **Company:** Apptronik Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Computer Vision, C++ (Programming Language), Software Quality, Software Debugging, Medical Software, Python (Programming Language), Kinematics, Software Engineering, Reinforcement Learning, Information Technology, Low Latency
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-dexterous-manipulation-austin-tx--dccbdd54-0252-4c5f-b9fc-5f0bfa15d461

## About the Role

Software Engineering, Logistics, Artificial Intelligence (AI), Manufacturing, Healthcare Software, Robotics, Mass Production, Reinforcement Learning, Software Engineering, Simulation, * Dexterous manipulation experience: multi-fingered grasping, in-hand manipulation, and high-DOF hand control.

 * Reinforcement learning for robotic control-reward design, training, and debugging-ideally applied to dexterous manipulation (imitation learning and diffusion policies a plus).
 * Strong Python and working C++ for real-time robotic software.
 * Hands-on experience training and validating policies in a physics simulator (IsaacSim, MuJoCo, or Drake).
 * Robotics fundamentals: kinematics, dynamics, and Jacobian-based control.
 * A track record of getting algorithms working on physical hardware, not simulation alone.
 * Nice to have: teleoperation (VR/haptic) and retargeting, tactile-sensing integration, computer vision (6D pose / point clouds), and end-effector bring-up & calibration., * BS/MS/PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
 * 3+ years of relevant experience in robotic manipulation or complex motion control (recent PhD graduates considered).
 * Evidence of taking complex algorithms from research / simulation to successful deployment on physical hardware.

PHYSICAL REQUIREMENTS

 * Prolonged periods of sitting at a desk and working on a computer
 * Must be able to lift 15 pounds at times
 * Vision to read printed materials and a computer screen
 * Hearing and speech to communicate

## Description

The Software Engineer - Dexterous Manipulation is a core contributor to our robots' ability to interact with the world with human-like precision. You will implement, tune, and deploy reinforcement learning and related learning-based control for high-DOF, multi-fingered robotic hands-translating state-of-the-art research (reinforcement / imitation learning, teleoperation retargeting) into reliable, production-grade software that runs in both simulation and on physical hardware. Working across simulation, hardware, and systems teams, you will get complex manipulation tasks working robustly on real robots., * Implement and tune control algorithms for multi-fingered hands-grasping, in-hand manipulation, and tactile-feedback integration.

 * Develop and maintain manipulation software with low-latency, reliable execution inside the real-time controls stack.
 * Translate state-of-the-art methods (RL / imitation policies, human-to-robot motion retargeting) into production-grade C++/Python.
 * Build and refine sim-to-real pipelines-hand models, domain randomization, and validation in IsaacSim / MuJoCo / Drake.
 * Deploy and debug manipulation capabilities on physical robots; diagnose sensor-noise, latency, and calibration issues.
 * Collaborate with hardware and systems engineers, feeding back on hand performance and sensor/actuator requirements.
 * Uphold code quality through rigorous testing, documentation, and peer review.