Senior RL Engineer - Home Robot Sim-to-Real Deployment

Halodi Robotics; San Carlos (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision coverage

Generous paid time off

401(k) plan with company match

Onsite snacks and catered lunches

Job summary

Halodi Robotics in San Carlos, California, is seeking a professional to lead the development and deployment of reinforcement learning algorithms for their humanoid robot, NEO. This position is critical for advancing task capabilities in home environments.

The role demands strong programming skills, hands-on experience with simulations, and the ability to work collaboratively across teams. This is an exciting opportunity to impact the future of robotics directly.

Qualifications

• Strong Python and/or C++ skills with experience in large codebases.
• Proficiency in PyTorch for reinforcement learning policy training.
• Hands-on experience with simulation platforms like Isaac Sim or MuJoCo.

Responsibilities

• Own the RL algorithm development pipeline from training through deployment.
• Train and deploy RL policies for real-world home environments.
• Collaborate with hardware and QA teams to ensure RL policies function reliably.

Skills

Python

C++

Reinforcement Learning

Sim-to-real transfer

Tools

PyTorch

MuJoCo

Bazel

Job description

Halodi Robotics in San Carlos, California, is seeking a professional to lead the development and deployment of reinforcement learning algorithms for their humanoid robot, NEO. This position is critical for advancing task capabilities in home environments.

The role demands strong programming skills, hands-on experience with simulations, and the ability to work collaboratively across teams. This is an exciting opportunity to impact the future of robotics directly.