1 month ago
Base Salary
$300k - $350k/yr
Responsibilities
- Own the technical roadmap and architecture for dexterous manipulation, hand control, and multi-fingered coordination.
- Develop and integrate learning-based control policies, including reinforcement learning, imitation learning, teleoperation retargeting, and vision-integrated systems.
- Lead high-fidelity simulation and sim-to-real validation strategies for robotic manipulation.
- Influence next-generation hardware specifications for sensing, degrees of freedom, and torque profiles.
- Oversee deployment of reliable C++ and Python manipulation software on production robotic hardware.
- Provide technical leadership, mentor engineers, and promote architectural and technical rigor.
Requirements
- Deep expertise in multi-fingered hand control, grasp planning, and in-hand manipulation with successful hardware deployments.
- Proficiency in learning-based robotic control, including flow- or diffusion-based visuomotor policies, reinforcement learning, and reward modeling.
- Proficiency in Python and experience building real-time robotic software stacks.
- Experience with physics simulation engines such as IsaacSim, MuJoCo, or Drake.
- BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
- At least 5 years of relevant experience, or 3 years with a PhD, focused on robotic manipulation or complex motion control.
- Demonstrated ability to deploy algorithms from research or simulation environments onto physical hardware.
- Preferred experience with robotic kinematics, teleoperation and VR or haptic interfaces, tactile sensing, computer vision, and high-DOF robotic end-effector bring-up.
Benefits
- Direct-hire position with annual compensation of $300,000-$350,000 USD.
- Physical requirements include desk and computer work, occasional lifting of up to 15 pounds, and the ability to communicate visually, by hearing, and by speech.
Categories
ML EngineeringRobotics
About Apptronik
Apptronik designs and manufactures AI-enabled humanoid robots, led by its Apollo platform, to automate tasks alongside people in manufacturing and logistics, with potential use in healthcare and homes. The privately held company is headquartered in Austin, Texas, and grew out of the University of Texas at Austin’s Human Centered Robotics Lab; its team previously worked on NASA’s Valkyrie robot. Apptronik’s business model centers on selling robots and the software and services needed to deploy them in industrial environments.