AI Infra Performance Intern: Embedded & HPC Optimizations

XPENG; Santa Clara (CA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Supportive environment

Computational resources

Opportunities for growth

Competitive compensation

Snacks, lunches, dinners

Job summary

XPENG, located in Santa Clara, California, is seeking a talented individual to design and optimize software for large-scale AI models in modern vehicles. The role involves improving system performance and reducing latency on embedded platforms.

The ideal candidate will have a Master's or PhD in a relevant field, strong expertise in C++ and Python, and experience with performance optimization.

This position offers the chance to work in a dynamic environment that prioritizes innovation in autonomous driving technology.

Qualifications

• Master's or PhD in a relevant field with industry or research experience.
• Strong expertise in C++ and Python for production-quality code.
• In-depth understanding of computer architecture and HPC.
• Proven experience in application performance analysis.

Responsibilities

• Design and optimize software for large-scale AI models.
• Profile and improve inference performance across systems.
• Reduce latency and enhance power efficiency on platforms.
• Deliver production-ready optimizations across the fleet.

Skills

C++

Python

Computer architecture

High-performance computing

Performance optimization

Education

Master's or PhD in CS/CE/EE or equivalent

Tools

eBPF

CUDA

Profiling tools

Job description

XPENG, located in Santa Clara, California, is seeking a talented individual to design and optimize software for large-scale AI models in modern vehicles. The role involves improving system performance and reducing latency on embedded platforms.

The ideal candidate will have a Master's or PhD in a relevant field, strong expertise in C++ and Python, and experience with performance optimization.

This position offers the chance to work in a dynamic environment that prioritizes innovation in autonomous driving technology.