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Design, implement, and track firmware validation tests for complex embedded systems. Use automation and software engineering best practices. Join us in the exciting autonomous vehicle industry!

Responsible for measuring and maintaining the uptime of critical services for autonomous vehicle development. Designing fault-tolerant systems, deploying and operating services, and improving them. Working with large volumes of data and compute-intensive tasks.

The Senior/Staff Embedded Software Engineer will be responsible for embedded software development for the driving-related functions and sub-systems of the Zoox vehicle. They will work closely with vehicle engineers and other experts to ensure safe and reliable operation.

Zoox is seeking an embedded software engineer to join their Advanced Hardware Engineering team. Responsibilities include developing production-quality code for autonomous driving, bringing up custom hardware, and integration with Zoox's software stack. Qualifications include a BS/MS in Electrical Engineering or Computer Science, 2-5 years of relevant experience, strong C/C++ programming skills for embedded Linux or microcontrollers, experience with measurement equipment, low-level interfaces, and collaboration with multidisciplinary teams.

The UX Designer will collaborate with various teams to enhance internal tools for Zoox, focusing on user experience and innovative product features. They will be responsible for prototyping, conducting user research, and ensuring high-quality design communication with engineers and stakeholders.

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.