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# Software Engineer - Vehicle Data Management

- **Company:** Aurora Innovation, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $162,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, C++ (Programming Language), Computer Programming, Databases, Database Design, Linux, Distributed Systems, Amazon DynamoDB, Python (Programming Language), Metadata, Software Engineering, Software Systems, Load Balancing, Indexer, Backend, Information Technology, Low Latency, Data Management, Api Gateway, Grpc, Data Pipelines, Golang, Microservices
- **Published:** May 14, 2026
- **Apply:** https://www.dice.com/job-detail/5bd0ae1b-d7cb-46c9-8e8c-bd5fb56b3e3a

## About the Role

* BS/MS or PhD in Computer Science or a related field
 * Minimum 3-5 years related experience
 * Required programming skills: GoLang/Python
 * General knowledge of backend software systems networking, load balancing, API gateways, system security, gRPC services.
 * AWS infrastructure experience, including S3 and DynamoDB in a production commercial system
 * Knowledge of database design, database management and database scalability., * Proficiencies with coding in C++
 * Proficiencies with Linux system
 * Experience with large scale distributed systems or microservice architectures
 * A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
 * Ability to navigate and work efficiently in large codebase
 * Strong software development background demonstrated by industry experience in building platforms that serve AV development and commercialization.

## Description

We're searching for a Senior software engineer to join Aurora's Vehicle Data Management team. The Vehicle Data Management Team is responsible for offloading, ingesting and scaling data through various pipelines, including autonomy sensor data, vehicle logs, sims, models, and training sets. The ideal candidate will design and implement systems that efficiently work for both physical offloaders and cloud, and also be an effective liaison between onboard system to cloud system.

In this role, you will

 * Architect and implement on-vehicle/offload + cloud data systems that scale to hundreds of PB of multimodal data (sensor/log/sim/ML datasets).
 * Improve reliability and performance of offline data workflows: throughput, latency, and discoverability (indexing/metadata/search).
 * Build internal tooling, libraries, and operational patterns that make data pipelines evolve and scale.
 * Own key services end-to-end (design, implementation, rollout, on-call/operations, observability, and incident response).
 * Partner directly with stakeholders across onboard systems, autonomy, ML, and infrastructure to deliver pragmatic solutions.


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