# Senior/Staff Software Engineer - Planner Frameworks Pipeline

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA, San Francisco, CA
**Role:** ML Engineering
**Salary:** $219k – $315k/yr
**Experience:** 8+ years
**Skills:** Python, C++, AWS, Ray.Io, Ray Core, Ray Data, Kubernetes, Distributed Systems, Machine Learning, Ml Training Pipelines
**Posted:** 2026-06-16

> Build and optimize large-scale simulation and ML training pipelines on Ray and Kubernetes to validate autonomous vehicle behavior. Requires 8+ years experience and strong distributed systems background.

## Job Description

## Responsibilities
- Improve the cost efficiency, reliability, and performance of validation and simulation pipelines
- Create production-grade APIs, SDKs, and tools to enable varied validations of autonomous behaviors
- Improve the ML training pipelines supporting the autonomous behavior organization

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

## Nice-to-Haves
- 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/d8820161-3f9e-4173-ad30-9a10c5cf65e6
**Canonical:** https://hotfix.jobs/jobs/d8820161-3f9e-4173-ad30-9a10c5cf65e6