Software Engineer - Planner Frameworks Pipeline

Zoox • Foster City, CA

2d

About The Position

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.

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++

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
• Understanding of the robotic data lifecycle

Responsibilities

• 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

Benefits

• paid time off (e.g. sick leave, vacation, bereavement)
• unpaid time off
• Zoox Stock Appreciation Rights
• Amazon RSUs
• health insurance
• long-term care insurance
• long-term and short-term disability insurance
• life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior