Zoox18d ago

Part Time Student Worker – Performance Optimization & Agentic Systems

United States·Foster CityContractmid

OtherPart Time

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Overview

About Zoox Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable,

Technical Tools

OtherPart Time

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.

Zoox’s program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek part time student workers who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission.

Zoox is seeking a highly detail-oriented and methodical student contractor to join our platform architecture team. The primary focus of this role is to design and execute rigorous performance optimization experiments for software processes running on high-performance CPU/GPU platforms (NVIDIA).

Ensure that experiments are reproducible, profiling data is meticulously captured, and edge cases are thoroughly investigated

Thrive on precision

You will work at the intersection of traditional hardware-aware optimization and cutting-edge agentic systems, using tools like Claude to develop LLM-based agents that can assist in the optimization lifecycle

Strong Mathematical Foundation: Demonstrated proficiency in Linear Algebra, Control Theory, or Stochastic Optimization to model autonomy and performance bottlenecks

Proficient in C++ or Python development

Hardware-Aware Optimization: A deep academic or project-based understanding of computer architecture (NVIDIA platforms) to optimize for memory bandwidth and high-throughput TFLOPS
Agentic Systems & Analysis: Experience experimenting with LLM-based agents and a disciplined approach to systems profiling and software engineering

Operational Style: You must be exceptionally detail-oriented and careful in your execution, prioritizing accuracy and deep-dive analysis over speed

Currently pursuing a B.S. or M.S., in a relevant engineering field

Available for a 6 month project

Able to commit to at least 20 hours per week

Ability to commute on-site to one of our offices

Student Worker may not use proprietary Zoox information in university theses, publications, or share it outside