about 4 hours ago
Santa Clara, CA, USASenior / Mid Level
Base Salary
$175k - $296k/yr
Responsibilities
- Research and implement deep-learning methods for legged locomotion in humanoid robots.
- Develop end-to-end robot motion controllers using reinforcement learning techniques.
- Design and analyze experiments to evaluate RL controllers and address sim-to-real challenges.
- Stay updated with advancements in humanoid robotics research.
Requirements
- Advanced degree in Mechanical Engineering, Computer Science, Robotics, or a related field; fresh graduates are welcome.
- Proficiency in Python and strong software design skills.
- 1-3+ years of experience with deep learning frameworks like PyTorch.
- Strong understanding of reinforcement learning and imitation learning techniques.
- Experience applying algorithms such as PPO, DQN, SAC to real-world problems.
Benefits
- A fun, supportive, and engaging work environment.
- Opportunities to impact the future of transportation and robotics.
- Work on cutting-edge technologies with top talent.
- Competitive compensation package and benefits.
- Snacks, lunches, and fun activities.