Self-driving truck platform with freight logistics partnerships
Aurora builds autonomous driving software for heavy-duty freight trucks, operating as a public company with ~1,000–5,000 employees across engineering, ops, and security. The tech stack reveals a dual orientation: deep embedded systems work (CATIA, Zemax, CAN, RTOS, Automotive Ethernet) paired with cloud infrastructure (AWS, Kubernetes, Python, PyTorch), while active adoption of Workday, NetSuite, and Salesforce signals operational scaling challenges tied to fleet growth and supply-chain complexity.
Notable leadership hires: Backend Tech Lead, Technical Lead Manager, Tech Lead, 3D Technical Director
Aurora develops autonomous driving technology for the trucking industry, with a system initially designed for freight-hauling operations. The company partners with major logistics providers and truck manufacturers including FedEx, Volvo Trucks, PACCAR, Uber Freight, Werner, Schneider, and Ryder. The product surface spans real-time fleet operations, simulation engines, mapping and versioning infrastructure, and vehicle-driver platform integration. Engineering-heavy hiring (128 of 257 active roles) and substantial security roles (19) reflect both the technical complexity of autonomous systems and the regulatory/insurance weight of operating at scale.
Aurora uses embedded systems tools (CATIA, Zemax, CAN, RTOS, Automotive Ethernet) for vehicle control, paired with Python, PyTorch, and C++ for AI/ML. Cloud infrastructure includes AWS, Kubernetes, and DynamoDB; frontend uses JavaScript, TypeScript, and Three.js.
Core projects include a real-time fleet operations backend, simulation engine, mapping storage system (Aurora Atlas), core security infrastructure (certificate and secrets management), and autonomous vehicle fleet management solutions for partners.
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