Work alongside world-class software engineers to tackle complex challenges in large-scale distributed data platforms, shaping how Zoox leverages data to advance autonomous transportation.
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.
In this role, you will:
Take end-to-end ownership of design, development, and maintenance of scalable systems for collecting, cataloging, storing, and processing petabytes of vehicle data
Own the development and scaling of robust log data storage solutions using AWS S3, and distributed systems to ensure data integrity and availability
Drive the technical design for assigned features, creating detailed design documents, and actively contributing to broader team design discussions
Implement monitoring, alerting, and operational tooling to ensure high availability and reliability of data pipelines processing thousands of runs daily
Troubleshoot and resolve production issues in data ingestion and storage systems, participating in on-call rotations
Qualifications
5+ 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
Experience contributing to large-scale data ingestion and storage systems handling petabytes of data
Demonstrated ability to take full ownership of project components, driving them from implementation through to production while collaborating effectively with senior leads
Bonus Qualifications
Knowledge of data cataloging systems, metadata management, storage optimization, and data governance
Experience with monitoring and observability tools (such as Grafana, Cloudwatch)
