Software Engineer, ML Training Performance
Zoox · Foster City, CA
About this role
## About Zoox Zoox is on a mission to reimagine transportation by building autonomous robotaxis from the ground up—focused on being **safe, reliable, clean, and enjoyable** for everyone. We’re still in the early stages of deploying robotaxis on public roads, and this is a great time to join Zoox and make a significant impact. ## Team: ML Platform The **ML Platform** team plays a crucial role in enabling innovations in **large-scale Foundation models, VLMs, and VLAs** to make autonomous driving as seamless as possible. ## The Opportunity Are you excited to drive **ML Performance Optimization** initiatives and help make ML models for autonomous driving **faster and more efficient**? In this role, you’ll work with **state-of-the-art accelerators** and cutting-edge techniques including: - **Distributed training** - **Quantization** - **Distillation** - **Pruning** You’ll collaborate closely with Autonomy teams across Zoox, including: - Perception - Prediction - Planner - Simulation - Collision Avoidance ## What You’ll Build Zoox builds and operates the **base layer of ML tools, model development, and serving systems** that applied research teams use for both **in-vehicle and off-vehicle** ML use cases. You’ll work alongside a team of strong software engineers and act as a **force multiplier** for internal customers. ## Growth & Impact As we expand robotaxi deployments and venture into new ML domains, this team offers many **growth opportunities** and the chance to significantly push the boundaries of how ML is practiced at Zoox. ## Learn More If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at **re:Invent**.
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