Full-Time

Staff Machine Learning Engineer

Inference

Posted on 7/30/2025

XPENG Motors

XPENG Motors

1,001-5,000 employees

Designs and manufactures intelligent electric vehicles and aircrafts

Compensation Overview

$179.4k - $303.6k/yr

+ Bonus + Equity

Santa Clara, CA, USA

In Person

Category
AI & Machine Learning (2)
,
Required Skills
Python
CUDA
Machine Learning
C/C++
Requirements
  • Master in CS/CE/EE, or equivalent, in industry experience
  • Strong code skill in C/C++ and Python
  • Experience with CUDA programming or related AI accelerator programming.
  • Experience with enabling accuracy machine learning modeling inference using low precision data formats
  • Familiarity with the fundamentals of deep learning
  • Have strong engineering skills to unblock yourself and are willing to pick up whatever knowledge you are missing to get the job done
Responsibilities
  • Optimization of models towards deployment on customized AI accelerators
  • Write kernels for customized AI accelerators
  • Develop performance estimates for critical kernels
Desired Qualifications
  • Have an understanding of ML architecture and an intuition for how to reduce model latency
  • Familiarity with GPU architecture or custom silicon chip architecture
  • Experience training deep learning models
  • A track record of efficiently solving complex problems collaboratively on larger teams of ML engineers, compiler engineers, kernel writers etc.

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 Size

1,001-5,000

Company Stage

N/A

Total Funding

$8.2B

Headquarters

Guang Zhou Shi, China

Founded

2014

INACTIVE