Full-Time

Senior Staff Planning Machine Learning Engineer

Posted on 4/9/2024

XPeng Motors

XPeng Motors

1,001-5,000 employees

Designs and manufactures intelligent electric vehicles and aircrafts

Data & Analytics
Robotics & Automation
Hardware
Consumer Software
AI & Machine Learning

Senior

Santa Clara, CA, USA + 1 more

Required Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Data Analysis
Requirements
  • MS or PhD in Engineering or Computer Science
  • 5-8 years of experience with DL frameworks like PyTorch, Tensorflow
  • Strong Python programming skills
  • Solid understanding of data structures and algorithms
  • Experience in deep learning model architecture design and training
  • Experience in data mining and analytics
  • Experience in DL model deployment tools like ONNX and TensorRT
Responsibilities
  • Research and develop algorithms for deep-learning-based methods for prediction and planning
  • Design efficient model architectures for real-time computing on vehicles
  • Develop offline data-driven ML infrastructure for fast adaptation of planning models
  • Collaborate with perception team to achieve intelligent autonomous driving systems
  • Work with field-testing data to improve autonomous driving technologies
  • Design, run, and analyze experiments to evaluate solutions on real-world data
  • Collaborate with multi-functional teams
  • Partner with system software engineering specialists to ship ML models

XPENG stands out as a leader in the tech industry, with its focus on intelligent mobility solutions such as electric vehicles and eVTOL aircraft, demonstrating a competitive edge in the rapidly evolving transportation sector. The company's proprietary Advanced Driver Assistance System (XPILOT) and intelligent operating system (Xmart OS) enhance the user experience by integrating technology and mobility, positioning XPENG as a pioneer in smart, people-first mobility. The company's culture fosters technological advancement, making it an exciting workplace for those passionate about shaping the future of transportation.

Company Stage

N/A

Total Funding

$8.2B

Headquarters

Guang Zhou Shi, China

Founded

2014

INACTIVE