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XPENG · 1 day ago

Staff Reinforcement Learning Engineer - Robotics

Santa Clara, CA

Full-time

Onsite

Senior Level, Lead/Staff

$215K/yr - $364K/yr

3+ years exp

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles. They are seeking a Staff Reinforcement Learning Engineer to research and implement deep-learning methods for humanoid robots, develop motion controllers, and analyze experiments to enhance robot performance.

AutomotiveAutonomous VehiclesElectric VehicleManufacturing

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

Qualification

Reinforcement LearningDeep LearningPythonPyTorchC++Mechanical EngineeringImitation LearningLegged Robot Control

Required

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

Proficiency in Python and strong software design skills

3-5+ 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

Experience with C++ is a plus

Hands-on experience with the control and operation of legged robot hardware is highly preferred

Benefits

Competitive compensation package & benefits

Snacks, lunches, and fun activities

Company

XPENG

Glassdoor2.8

XPeng is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers.

Founded in 2014

Guangzhou, Guangdong, CHN

10001+ employees