Onboard AI Performance Intern — Embedded Autonomy

Xpengmotors

Santa Clara (CA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Fun and supportive work environment
Infrastructures and computational resources
Opportunity to work on cutting-edge technologies
Competitive compensation package
Food and fun activities

Job summary

Xpengmotors, a leader in smart technology, seeks a software engineer to design and optimize software for AI models in vehicles. This role is pivotal for enhancing performance and efficiency across embedded systems.

The ideal candidate has a Master's or PhD in a relevant field, expertise in C++ and Python, and is skilled in high-performance computing. Enjoy a supportive work environment and competitive compensation while contributing to autonomous driving advancements.

Qualifications

  • Master's or PhD in CS/CE/EE or equivalent with relevant experience required.
  • Strong coding skills in C++ and Python, especially for performance-sensitive applications.
  • In-depth knowledge of computer architecture and high-performance computing.

Responsibilities

  • Design and optimize software for deploying AI models in vehicles.
  • Enhance performance across compute, memory, and I/O systems.
  • Implement optimizations that scale effectively across the vehicle fleet.

Skills

C++
Python
Performance analysis
Application optimization
High-performance computing
Embedded systems

Education

Master's or PhD in Computer Science, Computer Engineering, or Electrical Engineering

Tools

Profiling tools
CUDA
eBPF

Job description

Xpengmotors, a leader in smart technology, seeks a software engineer to design and optimize software for AI models in vehicles. This role is pivotal for enhancing performance and efficiency across embedded systems.

The ideal candidate has a Master's or PhD in a relevant field, expertise in C++ and Python, and is skilled in high-performance computing. Enjoy a supportive work environment and competitive compensation while contributing to autonomous driving advancements.

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