# Software Engineer - Planner Frameworks Pipeline at Zoox

Software Engineer - Planner Frameworks Pipeline at Zoox in Foster City, CA and 1 more. Hybrid, full-time, paying $177k–$270k. Posted May 12, 2026.

- Company: Zoox
- Location: Foster City, CA and 1 more
- Workplace: Hybrid
- Job type: Full-time
- Pay: $177k–$270k
- Experience: 6+ years
- Posted: 2026-05-12
- Apply: https://jobs.lever.co/zoox/e725749e-88f7-48e0-8e4c-8a4a3289b905/apply
- Source: https://jobmagic.ai/jobs/software-engineer-planner-frameworks-pipeline-zoox-jntcwd

## Requirements

- Bachelor’s degree in Computer Science or related field and 6+ years of industry experience
- Experience optimizing large-scale distributed systems for cost and efficiency
- Experience with AWS or similar providers
- Proficiency with Python and familiarity with C++

## Description

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 has a significant impact on the company's ability to safely and quickly iterate on autonomy development.

We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines.

This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred.

### In this role, you will:

- Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines

- Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors

- Improve the ML training pipelines supporting the autonomous behavior org

### Qualifications

- Bachelor’s degree in Computer Science or related field and 6+ years of industry experience

- Experience optimizing large-scale distributed systems for cost and efficiency

- Experience with AWS or similar providers

- Proficiency with Python and familiarity with C++

### Bonus Qualifications

- Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective

- Background in algorithmic optimization or performance investigation

- Experience with Ray.io, particularly Ray Core and Ray Data