Description
Software Engineer, Robot Data Platform
Team: Software & Machine Learning Infrastructure
Location: Foster City, CA
Commitment: Full-time
Workplace Type: hybrid
Salary:
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.
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)
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