Staff ML Engineer: Real-Time RL for Autonomous Driving

XPENG Jordan; Santa Clara (CA); On-site; USD 179,000 - 304,000; Full time

Benefits offered by this job

Snacks, lunches, dinners

Competitive compensation package

Computational resources

Job summary

XPeng Motors in Santa Clara, CA, seeks researchers to develop reinforcement learning based planning for autonomous driving. You will design real-time model architectures, build offline ML infrastructure, and deliver planning software with the perception and systems teams.

Requirements: engineering/CS/robotics degree with 3–5+ years in RL, strong Python, and experience with PyTorch or TensorFlow. Knowledge of ONNX/TensorRT and large-scale data processing is valued.

Qualifications

• Engineering/CS/Robotics degree with RL focus.
• 3–5+ years of experience in applied RL, model architecture design, data mining and data analytics.
• Strong Python programming and software design skills.

Responsibilities

• Research and develop RL-based planning methods for autonomous driving.
• Design real-time model architectures that can run on vehicle computing platforms.
• Develop offline data-driven ML infrastructure for fast adaptation of planning models.
• Deliver planning software and collaborate with perception and systems teams.
• Work with large field-testing data to improve autonomous driving technologies.
• Design, run and analyze experiments to evaluate solutions on real-world data.
• Collaborate with system software engineers to ship robust ML models.

Skills

Reinforcement learning

Python

Data analytics

Problem solving

Education

MS/PhD in Engineering/Robotics/CS

Tools

PyTorch

TensorFlow

ONNX

TensorRT

Job description

XPeng Motors in Santa Clara, CA, seeks researchers to develop reinforcement learning based planning for autonomous driving. You will design real-time model architectures, build offline ML infrastructure, and deliver planning software with the perception and systems teams.

Requirements: engineering/CS/robotics degree with 3–5+ years in RL, strong Python, and experience with PyTorch or TensorFlow. Knowledge of ONNX/TensorRT and large-scale data processing is valued.