# Software Engineer - Planner Frameworks Pipeline

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA, San Francisco, CA
**Role:** Data Engineering
**Salary:** $192k – $241k/yr
**Experience:** 6+ years
**Skills:** Python, C++, Kubernetes, Ray.Io, AWS, Distributed Systems, Machine Learning, Ray Core, Ray Data, APIs
**Posted:** 2026-05-12

> Develops and optimizes large-scale simulation and ML training pipelines using Ray.io and Kubernetes to validate autonomous vehicle behaviors. Requires 6+ years experience optimizing distributed systems, Python proficiency, and AWS knowledge.

## Job Description

## Responsibilities

- Improve the cost efficiency, reliability, and performance of validation and simulation pipelines
- Create production-grade APIs, SDKs, and tools to enable validations of autonomous behaviors
- Improve 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**

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**Apply:** https://hotfix.jobs/jobs/eb6bad0d-0be9-47c8-ada8-7c346ced6473
**Canonical:** https://hotfix.jobs/jobs/eb6bad0d-0be9-47c8-ada8-7c346ced6473