Software Engineer - Planner Frameworks Pipeline
Zoox · Foster City, CA
About this role
**Software Engineer - Planner Frameworks Pipeline** Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data- and GPU-intensive workloads built on **Ray.io** and **Kubernetes**. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency directly impacts the company’s ability to safely and quickly iterate on autonomy development. You’ll be part of a small, scrappy team within the larger Autonomy organization. While this role primarily focuses on **off-vehicle pipelines**, you will collaborate closely with engineers developing **on-vehicle algorithms and models** in the autonomy stack. The team stays close to end users (autonomy engineers) and focuses on the end-to-end use case for these validation pipelines. **What you’ll do** - Contribute to the framework’s **architecture**, **reliability**, and **efficiency** - Grow the framework’s capabilities to support **new use cases** - Help ensure production systems run with **high availability** - Take a **hands-on** role with a high degree of **independence and ownership** **What we’re looking for** - A track record of keeping **production systems** running reliably - Experience with **high-scale** data/GPU workloads (Ray.io and Kubernetes experience is a plus) - Robotics/autonomous systems experience is **not required**, but an understanding of the **robotic data lifecycle** is preferred
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