# Staff Robotics Engineer / Tech Lead – Whole-Body Control & Robot Learning

Hiring organization: [XPeng](https://career.thegoodapps.co/organizations/xpeng)

Canonical page: https://career.thegoodapps.co/jobs/7c84e573-e5ae-4431-9a7d-71e5ba800592

Listed on XPeng's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Staff
- Location: Santa Clara, CA
- Salary: 215280 – 364320 USD per year

## Summary

XPENG is hiring a Staff Robotics Engineer to lead development of control algorithms and learning systems for humanoid robots, combining hands-on technical contribution with team mentorship. This role suits an experienced roboticist with deep expertise in robot dynamics, reinforcement learning, and whole-body control who thrives in research-to-product environments.

_Our summary, not XPeng's wording._

## Skills named

Reinforcement Learning

## Required

- Master's or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field
- 5+ years of experience in reinforcement learning, robotics, robot learning, control systems, or related areas
- Strong background in robot dynamics, control, motion planning, reinforcement learning, imitation learning, or whole-body control
- Familiarity with modern robot learning methods such as PPO, SAC, behavior cloning, diffusion policies, or imitation learning
- Excellent cross-disciplinary communication skills
- Strong ownership mindset and ability to work in fast-moving, ambiguous research-to-product environment

## Nice to have

- Publications or strong project experience in robotics, reinforcement learning, legged locomotion, humanoid control, or embodied AI
- Experience technically leading projects or mentoring engineers
- Hands-on experience with legged robot control, testing, or operation

Apply on XPeng's site: https://job-boards.greenhouse.io/xpengmotors/jobs/8542153002