Senior Software Engineer, Robot Data Platform
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.
- 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
- 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.
- Knowledge of data cataloging systems, metadata management, storage optimization, and data governance
- Experience with monitoring and observability tools (such as Grafana, Cloudwatch)
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