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Lead architecture and implementation of scalable ML data pipelines and tooling to turn autonomy data into training datasets. Build data selection, active learning, inference-at-scale, vector DB management, labeling integration, QC automation, and introspection tools while partnering with ML researchers and infra teams.

Develop high-performance onboard systems for autonomous driving, including distributed systems and logging infrastructure, while collaborating with multiple teams to ensure system efficiency and reliability.

The Program Manager will oversee software evaluation processes, manage validation workflows, collaborate with engineering teams and ensure data integrity for autonomous driving software.

The Global Supply Manager will support supply chain strategy and vendor relationships, focusing on negotiations, performance tracking, and collaboration with cross-functional teams to ensure quality and timely delivery of components for Nuro's products.

Design and maintain release and over-the-air update infrastructure, focusing on large scale distributed systems and optimizing their performance.

The role focuses on verifying the safety of autonomous systems, creating requirements, metrics, and test strategies, and collaborating across teams.

Develop and implement online mapping models and algorithms for robotics, focusing on machine learning and data management within uncertain environments.

Manage data quality across ML annotation workflows by defining standards, diagnosing errors, and bridging engineering with operations to enhance safety and performance.

Manage full-cycle technical recruiting by sourcing candidates for Machine Learning Infrastructure and Data Engineering roles, collaborating with engineering leaders, and improving processes through data analysis.

The role involves providing strategic HR support to technical teams, coaching leaders, managing employee relations, and implementing HR programs aligned with business strategies.