Senior Software Engineer - Vehicle Data Management

Aurora Innovation • Pittsburgh, PA

1d • $146,000 - $234,000 • Hybrid

About The Position

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.
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.

Requirements

• BS/MS or PhD in Computer Science or a related field
• Minimum 1 year 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.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree