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Build and evolve ML infrastructure platform for resource provisioning, workload scheduling, petabyte-scale ETL, feature management, and platform abstractions to support large-scale model development and distributed training.

Build and scale ML infrastructure: automated IaC for GPU/CPU fleets, high-performance workload scheduling, petabyte-scale ETL, feature caching/storage, and platform abstractions to accelerate model development from experiment to production.

The role involves researching, developing, and implementing algorithms for Nuro's autonomous driving technology, focusing on behavior and planning systems. Responsibilities include collaborating with cross-functional teams, providing mentorship, and ensuring practical solutions are implemented in production-ready software.

Design, build, and deploy ML infrastructure to optimize autonomy models using quantization, pruning, distillation, and model compilers. Maintain and profile GPU ML compilers/runtimes, collaborate with autonomy teams to validate and deploy optimized models to production vehicles.

Lead Nuro's external communications strategy, manage media relations and major announcements, translate complex autonomy and AI advances into clear narratives, coach executives, oversee crisis and issues management, coordinate cross-functional stakeholders, and manage external PR partners to protect and amplify Nuro's brand.

Lead new product introduction for autonomous vehicle hardware from prototype through production. Coordinate cross-functional readiness (design, manufacturing, quality, supply chain), develop build plans and documentation, support EVT/DVT/PVT builds, manage BOMs and PLM workflows, drive issue resolution and continuous improvement for launch scalability and manufacturability.

Develop and implement state-of-the-art synthetic sensor simulation methods (photorealistic images, lidar, radar). Train and evaluate ML models for synthetic data, analyze realism and utility, answer sensor-autonomy questions, and collaborate across autonomy, infrastructure, and systems teams. Role scoped as Senior/Staff IC with potential to grow into Tech Lead.

The role involves bridging machine learning and systems engineering to enhance autonomy performance by optimizing data quality and developing frameworks for synthetic data in autonomous systems.

As a Sr. Technical Sourcer, you'll enhance talent pipelines for technical roles, partner with teams to define profiles, and engage potential candidates strategically while maintaining an excellent candidate experience.

The Senior Software Engineer will enhance and unify simulator functionality for autonomous vehicle testing, collaborating closely with diverse teams to drive innovation.