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

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

As a Software Engineer in ML Infrastructure, you will build automated resource provisioning, optimize workload scheduling, manage large-scale data processing, and enhance feature management for model development.

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.

Develop and maintain scalable and reliable data annotation systems, implement data quality metrics, and apply ML research to optimize the data lifecycle.

The role involves developing visualization frameworks for autonomous driving technology, collaborating with teams to enhance development workflows and produce high-quality visualizations.

The role involves building and optimizing ML infrastructure, focusing on automated resource provisioning, workload scheduling, data processing, and feature management to enhance the Nuro Driver development lifecycle.

In this role, you will lead mechanical design efforts, driving cross-functional collaboration, mentoring teams, and ensuring high-quality product delivery in autonomous vehicle systems.