Nuro

Lead the technical roadmap for systems that validate and verify the intelligence of Nuro's self-driving car technology. This involves developing evaluation tooling, designing intelligent agents and metrics to measure ML model performance, and closing the learning loop by identifying and refining behavioral weaknesses. The role requires defining the technical architecture for unified, automated, data-driven validation.

Nuro is seeking a Director of Engineering to lead their Eval Platform team, which is responsible for the simulation, evaluation, and validation platform underpinning autonomy development and driverless readiness. This role involves defining the technical vision, execution strategy, and organizational structure for a multi-disciplinary organization. The platform is critical for rapid iteration, assessing safety and performance, and making data-driven deployment decisions. The ideal candidate has deep technical expertise in building simulation systems and evaluation platforms for large-scale ML/robotics systems, and proven experience leading engineering organizations.

This role focuses on verifying the fault response of autonomous driving systems, defining system-level behavior requirements under fault conditions, implementing metrics, and building validation tooling. It involves stress testing the autonomy stack and contributing to risk assessment frameworks and safety cases, with a focus on ensuring a fail-operational system.

This role focuses on developing and implementing metrics to verify the driving behavior of an autonomous vehicle, using a combination of ML models and safety metrics. The engineer will evaluate these metrics on various test scenarios and generate reports to ensure safety for deployment. This role requires strong software development skills in Python or C++ and a deep understanding of robotic systems architecture.

This role focuses on testing and evaluating the collision avoidance capabilities of autonomous vehicles. It involves designing and implementing tests using simulation and real-world data, analyzing results, and reporting on residual risk to inform product changes and safety cases. The role requires strong software engineering skills, experience with simulation-based evaluation, and a deep understanding of robotics and autonomous systems.