Lead Robotics Software Engineer – Dexterous Manipulation

Apptronik; Sunnyvale (CA); On-site; USD 300,000 - 350,000; Full time

Job summary

Apptronik is seeking a Lead Software Engineer - Dexterous Manipulation to guide the development of learning-based dexterous control for multi-fingered hands. You will bridge research and production software, applying reinforcement and imitation learning, teleoperation retargeting, and classical control to enable high-DOF tasks in simulation and on hardware.

The role requires defining the software architecture, influencing hardware design, and delivering robust, scalable code for production

Qualifications

• BS/MS/PhD in Robotics, CS, or EE with focus on manipulation or control.
• 5+ years of relevant experience in robotic manipulation or complex motion control.
• Proven deployment of algorithms from research to physical hardware.

Responsibilities

• Own technical roadmap for dexterous manipulation and multi-fingered coordination.
• Define software frameworks balancing autonomous control and teleoperation.
• Lead integration of learning-based policies and vision systems.
• Oversee sim-to-real development to optimize policy transfer.
• Influence hardware requirements for sensing, DOF, and torque.
• Ensure production-grade C++/Python code reliability.
• Mentor teams and promote architectural excellence.

Skills

Dexterous Manipulation

Advanced Control & Learning

Software Engineering

Simulation Environments

Education

BS/MS/PhD in Robotics, CS, EE

Job description

Apptronik is seeking a Lead Software Engineer - Dexterous Manipulation to guide the development of learning-based dexterous control for multi-fingered hands. You will bridge research and production software, applying reinforcement and imitation learning, teleoperation retargeting, and classical control to enable high-DOF tasks in simulation and on hardware.

The role requires defining the software architecture, influencing hardware design, and delivering robust, scalable code for production