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

Develop and deploy state-of-the-art ML models for predicting interactive agent behavior and building controllable agents for closed-loop simulation. Conduct research in generative sequence modeling, transformers, diffusion models, and sequential decision-making, and collaborate with planning and autonomy teams to produce deployable solutions for real vehicles.

Lead the architecture and development of high-performance onboard systems for Nuro's autonomous vehicles, mentoring engineers and ensuring technical excellence.

Develop and deploy perception ML models for autonomous vehicles (detection, sensor fusion, tracking, classification, intent). Own end-to-end lifecycle: POC, model iteration, onboard deployment, monitoring, and optimization for latency and scale.

Responsible for designing and developing scalable data pipelines, storage systems, and monitoring tools for ML data infrastructure, ensuring system integrity and performance evaluation.

Develop large-scale data processing systems for autonomous driving, including storage, dashboards, and data pipelines, while ensuring integrity and resilience.

Design and develop robust data processing systems and pipelines, implement data storage solutions, and ensure system integrity through testing and monitoring.

Design and develop data pipelines for autonomous driving systems, create storage for data metrics, build dashboards, and maintain data integrity, focusing on ML components.

Develop high-quality visualization platforms for autonomous technology, work with autonomy engineers, and create polished visualizations for external applications.

The Software Operations Specialist at Nuro conducts quality control and testing for software in robotics and autonomy, ensures accurate documentation of findings, and collaborates with teams to enhance processes.