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In this role, a Staff Data Analyst will work with engineering teams to enhance the Aurora Driver through data analytics, developing metrics and dashboards, mentoring in the data space, and collaborating on various Data Science projects to improve performance across subsystems.

The Staff Supplier Quality Manager at Aurora is responsible for developing and maintaining supplier quality for autonomous vehicle hardware, managing supplier quality activities, leading the PPAP process, conducting audits, and collaborating with cross-functional teams to ensure compliance with quality standards. The role involves utilizing quality tools for performance monitoring and driving process improvements.

The Staff Supplier Quality Manager at Aurora oversees supplier development and quality management for autonomous vehicle hardware. Responsibilities include managing APQP and PPAP processes, conducting supplier audits, collaborating with internal teams, and driving improvements in supplier quality performance using various quality tools.

The Staff Quality Engineer will support quality engineering related to hardware design, manufacturing, and compliance efforts. Key responsibilities include applying quality assurance tools, ensuring ISO 9001 compliance, and collaborating with internal stakeholders and manufacturers. Travel to various company and contract locations will be necessary.

The Program Manager, Operations Safety will oversee safety initiatives and manage performance indicators to ensure operational safety in autonomous vehicles. This role involves collaboration with cross-functional teams, preparation of safety reports, and driving continuous improvements in safety management processes.

As a Software Engineer II on the Core Ingestion Infra team, you will design and build scalable distributed pipelines and gRPC services to process vehicle logs, leveraging cloud technologies and optimizing systems. You will collaborate with hardware and software engineers to achieve cross-departmental goals for analytics and log processing.

The Software Engineer will design and build scalable distributed data pipelines, optimize systems for handling large datasets, collaborate with cross-department teams, and ensure system monitoring and debugging. The role requires expertise in backend services and cloud technologies.