Teams at Aurora

Conduct an impactful lidar hardware engineering internship project, collaborating with mentors and cross-functional teams. Apply sensor technology, programming, optical sensing, photonics, frequency-domain modeling, and experimental verification skills to support Aurora’s self-driving technology and potentially advance projects from concept through field testing.

Supports internal engineers by troubleshooting builds, CI, source control, cloud access, authentication, development environments, and AI coding tools. Responsibilities include triaging support requests, managing access through infrastructure-as-code, identifying recurring issues, communicating incidents, and building scripts, command-line tools, documentation, and AI-powered automation. The role provides early-career exposure to CI/CD, cloud infrastructure, identity and access management, and developer tooling.

Define and evolve Aurora’s autonomous-vehicle runtime framework across on-vehicle and cloud execution. Design high-performance, low-latency IPC and RPC, manage configuration and process lifecycles, improve deterministic simulation and log replay, and build fault monitoring and recovery capabilities. The role also involves creating intuitive C++ APIs, supporting field testing, mentoring engineers, setting coding standards, and driving the framework roadmap.