Senior RL Engineer for Robotics & Real-World Deployment

Apptronik; Austin (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

A robotics company is seeking a Senior Reinforcement Learning Engineer to develop advanced algorithms for humanoid robots. The role emphasizes mentoring junior engineers and implementing state-of-the-art RL algorithms to enhance the performance of robotic systems. Candidates should possess deep expertise in reinforcement learning frameworks and simulation, with a strong academic background in relevant fields. This position offers the opportunity to work on impactful challenges in robotics, particularly in dynamic locomotion and manipulation tasks.

Qualifications

• 5+ years of hands-on expertise with RL frameworks and physics simulators.
• Strong coding skills in Python and C++ for algorithm development.
• Experience with large-scale, distributed training and optimization.

Responsibilities

• Implement and deploy RL algorithms for dynamic tasks on robots.
• Drive the development cycle from simulation to robot deployment.
• Optimize the RL training pipeline for faster iterations.

Skills

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

Python

C++

Distributed training pipelines

Robot dynamics and controls theory

Education

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

Tools

MuJoCo

IsaacGym

Job description

A robotics company is seeking a Senior Reinforcement Learning Engineer to develop advanced algorithms for humanoid robots. The role emphasizes mentoring junior engineers and implementing state-of-the-art RL algorithms to enhance the performance of robotic systems. Candidates should possess deep expertise in reinforcement learning frameworks and simulation, with a strong academic background in relevant fields. This position offers the opportunity to work on impactful challenges in robotics, particularly in dynamic locomotion and manipulation tasks.