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Lead safety claims for autonomous driving systems by managing and assessing safety components, collaborating with teams, and developing safety performance processes.

Design, build, and deploy ML infrastructure components for autonomous vehicles, focusing on model training pipelines and optimizations.

The role involves optimizing AV software performance, analyzing and debugging systems, and developing tools for memory management and process management.

Lead business development efforts by sourcing and closing partnerships, engaging with cross-functional teams, and analyzing market trends to inform strategies.

Design and implement APIs for vehicle communication, build logging systems, enhance software reliability, and debug complex system issues.

Design and develop sensor and compute systems for robotics, ensuring high reliability and performance through software metrics and automated testing, while collaborating actively across teams.

The Recruiter will manage the full cycle of recruiting for high-volume operations roles, develop sourcing strategies, and maintain recruiting metrics in Greenhouse.

Responsible for implementing metrics to evaluate the driving behavior of the Nuro Driver, ensuring safety and performance through collaboration and technical expertise.

As a Machine Learning Intern, you will develop and deploy models for autonomous driving using AI techniques. Responsibilities include experimenting with ML systems, collaborating with teams on performance analysis, and building trajectories for safe vehicle operation.

Join the Performance team to optimize software performance for Nuro's self-driving vehicles by analyzing, profiling, and developing key systems and tools.