Dexterous Robotic Manipulation Software Engineer

Apptronik; Austin (TX); On-site; USD 120,000 - 165,000; Full time

Job summary

Apptronik is seeking a Software Engineer — Dexterous Manipulation to advance control for multi-fingered robotic hands. You will translate cutting-edge RL and imitation learning into robust software that runs in simulation and on real hardware, collaborating with hardware and systems teams to accelerate Apollo’s capabilities.

The role emphasizes real-time control, low-latency software, and a track record of deploying algorithms to physical robots.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Dexterous manipulation

Reinforcement learning

Python

C

Kinematics & dynamics

Robotics fundamentals

Teleoperation (VR/haptic)

Education

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

Evidence of deploying algorithms on physical hardware

Tools

IsaacSim

MuJoCo

Drake

Job description

Apptronik is seeking a Software Engineer — Dexterous Manipulation to advance control for multi-fingered robotic hands. You will translate cutting-edge RL and imitation learning into robust software that runs in simulation and on real hardware, collaborating with hardware and systems teams to accelerate Apollo’s capabilities.

The role emphasizes real-time control, low-latency software, and a track record of deploying algorithms to physical robots.