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As a Senior UX/UI Designer for Rider Applications, you will lead the design of mobile app interfaces that enhance user experiences for riders. You will collaborate across teams, manage design processes, and ensure the implementation of a human-centered design approach while integrating insights from UX research. This role requires proficiency in design systems and accessibility standards.

As a Senior Software Performance Engineer at Zoox, you will be responsible for optimizing and analyzing performance-critical algorithms. You will work with the software and hardware teams to meet system performance targets and establish budgets for future architectures. Additionally, you will propose and implement solutions to improve code efficiency and work cross-functionally to ensure optimal performance across the fleet.

The Senior Software Engineer will develop the operating system platform for various vehicle devices, focusing on platform-level software, device drivers, and kernel-space code, with an understanding of networking and system internals.

As a Compensation Partner, you will guide HR Business Partners and Recruiting in the implementation of equitable compensation programs, conduct data analysis to inform decisions, and enhance understanding of compensation policies within the organization.

The Quality Systems Manager will develop and implement Zoox's Quality Management System, aligning it with mandatory regulations and industry best practices. Responsibilities include leading internal quality audits, developing quality documentation, and standardizing quality methodologies, all while ensuring high safety and quality standards.

The Manager of Vehicle Quality Support leads the Receiving Inspection and Quality Audit teams, focusing on metrics, processes, and team development to ensure Zoox L3 & L5 vehicles meet quality standards. Responsibilities include managing team performance, quality tracking, and collaborating with other departments for performance improvement.

As a Senior Software Engineer at Zoox, you will enhance the High-Performance Computing infrastructure vital for machine learning workflows across divisions. Responsibilities include designing and implementing ecosystem improvements, global storage optimization, researching distributed systems, and creating production-quality APIs for developer utilization.