AI Infra Onboard Performance Intern

Key Responsibilities

• 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.

Basic Qualifications

• 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.

Preferred Qualifications

• Experience writing and optimizing CPU or CUDA kernels.
• Experience developing performance tooling and instrumentation (e.g., eBPF, perf, custom tracing/profiling frameworks) for production or embedded systems.
• Familiarity with embedded or automotive compute platforms (e.g., NVIDIA Orin, Drive) and their power/thermal constraints.
• Previous experience in the autonomous driving or robotics industry.
• Effective at solving complex problems collaboratively within larger cross-functional teams.

What do we provide

• A fun, supportive and engaging environment.
• Infrastructures and computational resources to support your work.
• Opportunity to work on cutting edge technologies with the top talents in the field.
• Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
• Competitive compensation package.
• Snacks, lunches, dinners, and fun activities.