2 months ago
Responsibilities
- Own the long-term technical roadmap for dexterous manipulation, hand control, and multi-fingered coordination.
- Design and enforce scalable software frameworks balancing autonomous control with high-fidelity teleoperation.
- Integrate state-of-the-art learning-based policies and vision-integrated systems into robotic manipulation software.
- Lead high-fidelity simulation and sim-to-real validation strategies for physical robot deployment.
- Influence next-generation robotic hand hardware specifications, including sensing, degrees of freedom, and torque profiles.
- Oversee the transition of experimental research into reliable fleet-wide production software using C++ and Python.
- Provide technical leadership, establish architectural standards, conduct code reviews, and mentor robotics engineers.
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 environments such as IsaacSim, MuJoCo, or Drake.
- Strong foundations in robotic kinematics, spatial transformations, Jacobian-based control, and constrained optimization are preferred.
- Experience with VR or haptic interfaces, teleoperation retargeting, tactile or haptic sensing, computer vision, or high-degree-of-freedom end-effector bring-up is preferred.
- Bachelor’s, master’s, or PhD degree 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.
- Proven ability to take algorithms from research or simulation environments and deploy them successfully on physical hardware.
Benefits
- Direct-hire position.
- Equal employment opportunity workplace with legally protected non-discrimination and anti-harassment protections.
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.