Senior RL Engineer - Robotic Locomotion and Control

Apptronik Systems, Inc.; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A robotics technology company is seeking a Senior Reinforcement Learning Engineer to enhance performance of humanoid robots. Responsibilities include implementing state-of-the-art RL algorithms, mentoring junior staff, and optimizing training pipelines. The ideal candidate has a PhD in Computer Science or Robotics, with 5+ years experience in reinforcement learning frameworks and strong programming skills in Python and C++. This role aims to solve complex challenges in robotics through innovative solutions.

Qualifications

• 5+ years of hands-on experience with RL frameworks.
• Proven track record of deploying learning-based policies on physical robotic systems.
• Experience in mentoring or guiding other engineers.

Responsibilities

• Implement and deploy state-of-the-art RL algorithms on physical hardware.
• Optimize and scale the RL training pipeline for high-throughput simulation.
• Mentor junior engineers and conduct code reviews.

Skills

Reinforcement Learning frameworks (e.g., PyTorch, JAX)

Python programming

C++ programming

Experience with high-fidelity physics simulators (e.g., MuJoCo, IsaacGym)

Knowledge in robot dynamics and controls theory

Education

PhD or MS in Computer Science, Robotics, or a related field

Tools

Physics Simulators (e.g., MuJoCo, IsaacGym)

Job description

A robotics technology company is seeking a Senior Reinforcement Learning Engineer to enhance performance of humanoid robots. Responsibilities include implementing state-of-the-art RL algorithms, mentoring junior staff, and optimizing training pipelines. The ideal candidate has a PhD in Computer Science or Robotics, with 5+ years experience in reinforcement learning frameworks and strong programming skills in Python and C++. This role aims to solve complex challenges in robotics through innovative solutions.