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Job 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

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  • Role Software Engineer - Planner Frameworks Pipeline
  • Experience 3-4 years
  • Education Bachelor Degree
  • Work type Hybrid
  • Location United States
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Zoox
Robotics & Autonomy · 500+ Members · Foster City, CA, United States

Zoox, an Amazon subsidiary, develops an autonomous ride-hailing service and a purpose-built electric robotaxi. Rather than adapting a conventional car, it designed a bidirectional vehicle around autonomous operation, passenger use, and dense urban mobility. The company develops the vehicle, autonomous-driving software, sensing, simulation, fleet systems, and rider experience as one integrated service. Zoox is progressing from testing toward commercial robotaxi operations with safety and controlled deployment at the center of its approach.

All jobs at Zoox
Job Overview

Approx. salary range

152K – 310K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 282 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
Hybrid
Job Posted:
4 months ago
Job Type
Full Time
Education
Bachelor Degree
Experience
3-4 years

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