AI Infra Onboard Performance Intern

Design and optimize software for deploying large-scale AI models in production vehicles.

Profile and improve inference performance across compute, memory, and I/O systems.

Reduce latency and improve power efficiency on embedded automotive platforms.

Deliver production-ready optimizations that scale reliably across the vehicle fleet.

Master's or PhD in CS/CE/EE or equivalent, with relevant industry or research experience.

Strong expertise in C++ and Python, including performance-sensitive, production-quality code.

In-depth understanding of computer architecture and high-performance computing (memory hierarchy, parallelism, vectorization, scheduling).

Proven experience in application performance analysis and optimization, using profiling tools to diagnose and resolve bottlenecks.