In this role, you will:
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
Qualifications:
Strong Mathematical Foundation: Demonstrated proficiency in Linear Algebra, Control Theory, or Stochastic Optimization to model autonomy and performance bottlenecks
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
Program Requirements:
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
$30 per hour.
This is a contract position and employment for this position will be through a vendor contracted with Zoox. The hourly pay range is posted and you will be eligible for a benefits package as offered by the vendor.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.