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Senior Reinforcement Learning Engineer

Apptronik· Advanced Technologies
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Austin, TXfull-timePosted 3mo ago

About the role

Senior hands-on RL engineer at Apptronik focused on achieving state-of-the-art performance for humanoid robots, specializing in locomotion and manipulation on physical hardware, with mentorship responsibilities.

Responsibilities

  • Implement and deploy state-of-the-art RL algorithms to achieve world-class performance on dynamic locomotion and manipulation tasks with physical hardware.
  • Drive the development cycle from prototyping in simulation to robust transferring and fine-tuning policies on the robot.
  • Optimize and scale the RL training pipeline for faster iteration and contribute to core infrastructure for high-throughput simulation and distributed training.
  • Mentor junior engineers through technical guidance, code reviews, and best practices in reinforcement learning and software development.
  • Collaborate with robotics and hardware teams to diagnose system-level issues and co-develop solutions for more complex learned behaviors.
  • Analyze and present hardware results to guide future technical directions and demonstrate progress on company objectives.
  • Develop and refine motion retargeting pipelines to translate human demonstration data (mocap, teleoperation) into robust reference trajectories for reinforcement learning.

Qualifications

  • Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX) and high-fidelity physics simulators (e.g., MuJoCo, IsaacGym)
  • Mastery of Python for rapid prototyping and training, alongside strong proficiency in C++ for performant, deployable code.
  • Experience building or utilizing large-scale, distributed training pipelines and strong optimization intuition.
  • Strong theoretical understanding of modern reinforcement learning, including imitation learning, model-based RL, and sim-to-real transfer techniques.
  • Strong intuition for robot dynamics and controls theory to guide learning-based approaches.
  • Results-oriented mindset with a passion for deploying complex algorithms on real-world hardware.

Skills

Required:RL frameworksPhysics simulatorsPythonC++Imitation learningRobot dynamics
Nice to have:Distributed training
Last updated Aug 2, 2026. Interested? Apply on the company site.

About Apptronik

One Platform for the Future of Work

Apptronik designs humanoid robotics platforms with mobility, manipulation, and human-centered interaction to support people in the workplace.

3PLApolloApollo for ManufacturingApollo for RetailApollo for WarehouseBuilt for the Real WorldForm That Fits the WorkGoods-to-Person
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