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# AI Tooling Software Engineer - Data Platform, Autonomy

- **Company:** Zipline
- **Location:** South San Francisco, CA, United States
- **Salary:** $180,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Cloud Database, Data Infrastructure, Data Structures, Data Systems, Database Queries, Software Debugging, Django Web Framework, JSON, Reliability Engineering, Web Applications, WebGL, Three.js, ReactJS, Flask (Web Framework), Software Security, Backend, Fastapi, Amazon Relational Database Service, Build Tools, Front End Software Development, Api Gateway, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3502544160&tx=TT434THZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

As an AI tooling engineer on the Autonomy team, you will build and scale the systems that help our teams visualize, annotate, debug, and extract signals from vehicles making real-world deliveries every day. These tools sit near the top of the data funnel and power the feedback loop that improves model and hardware performance and the customer experience. We are looking for an experienced software generalist or someone with exceptional depth in frontend or backend systems., * Experience building data-heavy web applications and improving performance with large datasets.

 * Understanding of database query optimization and complex JSON or nested data structures.
 * Experience designing backend APIs with frameworks such as Django, Flask, or FastAPI.
 * Working knowledge of cloud databases such as AWS RDS or DocumentDB.

Nice to Have

 * Experience with React, WebGL, or Three.js.
 * Experience with platform engineering, API gateways, service meshes, or developer platforms.
 * Background in security engineering, application security, site reliability engineering, or incident response.
 * Experience establishing technical standards or governance in a fast-moving engineering organization.
 * Experience with internal tools, data systems, or AI-enabled applications.
 * Experience building systems for real-world operations, logistics, autonomous systems, or other high-reliability services.

## Description

* Build scalable backend APIs and real-time data pipelines for querying, filtering, and aggregating large datasets.
 * Design database schemas, indexes, and query strategies that keep search and analysis fast at scale.
 * Partner with autonomy, service, maintenance, and operations teams to improve workflows and build tools for development, troubleshooting, and fleet health.