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Develop and maintain a Ride-hailing Product utilizing Nuro's autonomous vehicle technology, integrating APIs, and managing real-time vehicle data.

This role involves defining and ensuring the safety of a high-performance compute platform for autonomous vehicles, integrating hardware and software while performing safety analyses and collaboration with suppliers.

Develop embedded software for L2+ to L4 autonomous vehicle applications, ensuring safe operation, collaborating with engineers, and vehicle prototyping.

Develop synthetic sensor simulation models and algorithms for robotics using machine learning methods. Collaborate across teams to analyze and improve sensor data.

The role involves applying advanced machine learning techniques to solve perception, prediction, and planning problems in autonomous systems, while also providing leadership and deploying solutions to public roads.

The Technical Lead Manager will oversee the ML Training Infrastructure team, focusing on enhancing model training efficiency through state-of-the-art quantization techniques and mentoring a high-performing team.

Collaborate cross-functionally to build scalable infrastructure solutions, enhance developer experience, and improve system reliability and security.

Develop synthetic sensor simulation models and algorithms while collaborating with various teams to enhance sensor data and autonomy performance.

Develop synthetic sensor simulation models and algorithms. Analyze sensor data realism. Collaborate with teams on autonomy performance needs.

The Software Engineer will define fault response requirements, implement validation metrics, and contribute to safety assessments for autonomous systems.