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
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 parental leave
Affinity groups and sports clubs
Work from home opportunities
Health insurance
Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description
Qualifications
Proficiency with Python and familiarity with C++
Experience optimizing large-scale distributed systems for cost and efficiency
Experience with AWS or similar providers
Bachelor’s degree in Computer Science or related field and 8+ years of industry experience
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