9 days ago
Austin, TX, USASenior / Mid Level
Responsibilities
- Implement and deploy state-of-the-art RL algorithms for locomotion and manipulation tasks.
- Drive the development cycle from simulation prototyping to policy fine-tuning on robots.
- Optimize the RL training pipeline for faster iteration and high-throughput simulation.
- Mentor junior engineers through technical guidance and code reviews.
- Collaborate with robotics and hardware teams to solve system-level issues.
- Analyze hardware results to guide technical directions and demonstrate progress.
- Develop motion retargeting pipelines for translating human demonstration data.
Requirements
- 5+ years of hands-on expertise with RL frameworks like PyTorch or JAX.
- Mastery of Python for rapid prototyping and strong proficiency in C++.
- Experience with large-scale, distributed training pipelines and their optimization.
- Strong theoretical understanding of modern reinforcement learning techniques.
- Intuition for robot dynamics and controls theory.
- Results-oriented mindset with a passion for real-world algorithm deployment.
- PhD or MS in Computer Science, Robotics, or a related field with 2+ years of industry experience preferred.