Aurora builds the Aurora Driver, a self-driving system for freight trucks, on a C++, Go, Python and Bazel core with gRPC and Kubernetes, plus ISO 26262 safety tooling and CATIA/Zemax for hardware and optics design. ASIC adoption points to custom silicon work. Hiring is accelerating and skews staff and senior engineering, with an unusually heavy security push tied to driverless product security and SDLC controls.
Notable leadership hires: Operations Lead
Aurora is a publicly traded autonomous vehicle company headquartered in Pittsburgh, Pennsylvania, founded in 2017. Its core product, the Aurora Driver, is a self-driving system initially targeted at freight-hauling trucks, serving the freight and logistics sector. The company employs between 1,001 and 5,000 people and hires in the United States. Its business operations run on Salesforce, Workday, NetSuite and Smartsheet, with Jira, Confluence and Slack supporting collaboration.
Aurora uses C++, Go, Python, TypeScript, Bazel, gRPC, Kubernetes, AWS, PostgreSQL and dbt, plus CATIA and Zemax for hardware design and ISO 26262 for functional safety.
Yes. Hiring is accelerating and engineering leads the mix, mostly at staff and senior levels, followed by security, operations and finance roles, all in the United States.
Aurora is headquartered in Pittsburgh, Pennsylvania, and is a public company founded in 2017 with 1,001–5,000 employees.
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Aurora's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
