about 4 hours ago
Santa Clara, CA, USAIntern
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.
Requirements
- 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.
- Proven experience in application performance analysis and optimization using profiling tools.
Benefits
- A fun, supportive and engaging environment.
- Infrastructures and computational resources to support your work.
- Opportunity to work on cutting edge technologies with top talents in the field.
- Opportunity to make a significant impact on the transportation revolution.
- Competitive compensation package.
- Snacks, lunches, dinners, and fun activities.