Systems Engineering, New Grad 2027

[…] believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.

Founded in 2016, […] is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the […] Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.

With years of real-world deployment experience and a flexible, partner-led business model, […] is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.

[…] has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

The Systems Engineering team is responsible for the requirements, architecture, and validation of autonomous driving capabilities across engineering disciplines. This includes designing performance metrics, evaluation methods, and criteria for success, which the team then drives cross-functional via requirement definition and system validation. Systems Engineering works at the intersection of hardware, software, and robot operation