1 month ago
Base Salary
$300k - $350k/yr
Responsibilities
- Improve the architecture, algorithms, real-time performance, testing, and maintainability of the robotics controls stack.
- Develop whole-body control for wheeled-base and bipedal robots, coordinating locomotion platforms with upper-body manipulation.
- Develop learning-based hand control, mobile manipulation, teleoperation, and estimation capabilities.
- Translate model-based and learning-based methods from simulation through hardware bring-up and deployment.
- Improve robot speed, payload, reliability, and safety with measurable performance gains.
- Set technical direction across the controls stack and influence the technical roadmap.
- Mentor engineers through design reviews, code reviews, and engineering best practices.
- Collaborate with hardware, systems, and reinforcement learning teams to diagnose and solve system-level issues.
Requirements
- Master’s or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent experience.
- At least 8 years of relevant industry experience in robot controls, or at least 4 years with a PhD.
- Deep knowledge of kinematics, dynamics, state estimation, and optimization/control theory.
- Proven expertise in whole-body control, operational space control, QP-based control, or model predictive control for floating-base legged or mobile wheeled systems.
- Hands-on experience applying learning-based control or reinforcement learning to robotics, including training in simulation.
- Breadth across mobile manipulation, dexterity or hand control, and teleoperation.
- Strong real-time C++ and Python software engineering skills for robotic systems.
- Industry experience developing production-grade controllers and validating or deploying algorithms on physical robot hardware.
- Preferred experience includes shipping controllers to a production fleet or market at scale, dexterous or in-hand manipulation, legged locomotion, or safety-critical/certified software.
- Preferred familiarity with ISO 13849, ISO 10218, or IEC 61508.
Benefits
- Direct-hire position.
- Annual compensation of $300,000 - $350,000 USD.
- Work involves periods of desk and computer work, occasional lifting of up to 15 pounds, and communication using vision, hearing, and speech.
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.