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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.
Job Responsibility:
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 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
Nice to have:
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