Senior Reinforcement Learning Engineer - Robotics

Xpengmotors; Santa Clara (CA); On-site; USD 174,720 - 295,680; Full time

Benefits offered by this job

Fun environment

Impact on transportation and robotics

Cutting-edge technologies

Competitive compensation package

Snacks and lunches

Job summary

XPENG is a leading smart tech company advancing AI-driven humanoid robotics and autonomous systems. This role focuses on researching and implementing deep-learning methods for legged locomotion and whole-body control, with emphasis on RL and imitation learning for real-world robots.

You will design experiments, analyze results, and integrate the latest academic breakthroughs to stay at the forefront of robotics research and development.

Qualifications

• Advanced degree in Mechanical Engineering, Computer Science, Robotics, or related field.
• 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.

Responsibilities

• Research, implement, and evaluate deep-learning-based methods for legged locomotion and whole-body control problems in humanoid robots.
• Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning, or other advanced techniques.
• Design, execute, and analyze experiments to evaluate RL controllers and address sim-to-real challenges.
• Stay updated and integrate the latest advancements in academic and engineering research for humanoid robotics.

Skills

Python

Reinforcement learning

Imitation learning

Research

Communication

Education

Advanced degree in Mechanical Engineering, Computer Science, Robotics, or related field

Tools

PyTorch

C++

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.

Job Responsibilities:

• Research, implement, and evaluate deep-learning-based methods for legged locomotion and whole-body control problems in humanoid robots.
• Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning, or other advanced techniques.
• Design, execute, and analyze experiments to evaluate RL controllers and address sim-to-real challenges.
• Stay updated and integrate the latest advancements in academic and engineering research for humanoid robotics.

Minimum Requirements:

• Advanced degree in Mechanical Engineering, Computer Science, Robotics, or a related field. Open to fresh graduates.
• 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.
• Proven experience applying algorithms such as PPO, DQN, SAC, etc., to real-world problems.

Preferred Requirements:

• Experience with C++ is a plus.
• Hands-on experience with the control and operation of legged robot hardware is highly preferred.

What do we provide:

• A fun, supportive and engaging environment.
• Opportunities to make a significant impact on the future of transportation and robotics.
• Opportunity to work on cutting edge technologies with the top talent in the field.
• Competitive compensation package & benefits.
• Snacks, lunches, and fun activities.

The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.