Senior Software Engineer, Robot Data Platform

Job Description

Zoox is transforming transportation with a mission to build autonomous robotaxis from the ground up—delivering a safer, cleaner, more reliable, and enjoyable future for all.

The Robot Data Platform team, as part of the Data Infrastructure organization, builds and operates the systems that manage data generated by Zoox’s autonomous vehicle fleet. We design, scale, and maintain infrastructure that ingests, stores, and serves hundreds of petabytes of vehicle data, empowering machine learning, data science, software engineering, fleet management, and safety analysis across the company.

As a member of this team, you’ll work alongside world-class software engineers to solve complex challenges in large-scale distributed data platforms, systems, and pipelines, shaping how Zoox leverages data to advance autonomous transportation.

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including 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, and life insurance.

In this role, you will:

Design, develop, and maintain scalable systems for collecting, cataloging, storing, and processing petabytes of vehicle data

Architect robust log data storage solutions using AWS S3, and distributed systems to ensure data integrity and availability

Lead technical design discussions, create design documents, and drive architectural decisions for complex data platform features

Implement monitoring, alerting, and operational tooling to ensure high availability and reliability of data pipelines processing thousands of runs daily

Mentor junior engineers, conduct code reviews, and establish best practices for data platform development

Troubleshoot and resolve production issues in data ingestion and storage systems, participating in on-call rotations

Qualifications

8+ years of software engineering experience in building large-scale distributed cloud storage systems or data platforms

Proficiency in Python and C++, or similar languages, with emphasis on writing clean, maintainable code

Extensive experience with cloud platforms (AWS preferred), including S3, Aurora, and EC2

Proven experience designing and operating large-scale data ingestion and storage systems handling petabytes of data

Demonstrated strong ownership by driving projects from conception to completion and collaborating effectively with cross-functional teams through clear communication.