Engineering Manager, Autonomy Validation Platform & Pipelines

Foster CityFull-timemid

EngineeringManagement

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Overview

Zoox is looking for an experienced Software Engineering Manager to lead our Autonomy Validation Platform & Pipelines infrastructure team.

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Zoox is looking for an experienced Software Engineering Manager to lead our Autonomy Validation Platform & Pipelines infrastructure team. This team is responsible for the platform powering Zoox’s safety approach through mass-scale simulation, as well as for key safety validation pipelines running on it. You will take on a wide breadth of end-to-end responsibilities, including the design of large-scale distributed systems & compute frameworks, the automation of complex business processes with human-in-the-loop stages, and the establishment of best-in-class operations to maintain mission-critical SLAs.

The position comes with a high degree of independence and the opportunity to help define Zoox’s autonomy validation and scaling strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy, System Design & Mission Assurance, and Software Systems teams to develop a cohesive, deeply vertically integrated solution. You will also be responsible for hiring and maintaining the health of your team, as well as growing and coaching them to support the continued success of their careers.

Develop a vision and roadmap for designing, building, and owning compute frameworks and platforms for running autonomy validation pipelines at scale

Work closely with AI teams and other software customers to automate complex business processes around dataset preparation, compute resource management, and safety metrics signoff

Build the muscle for operational excellence, including but not limited to on-call roles & responsibilities, component/service ownership boundaries, and manual toil reduction.

Align goals and progress with Zoox milestones across Autonomy versions and launch locales

Grow & expand the team by owning all stages of the hiring and career development process, from thoughtful role definition to interview loop design to successfully hiring & developing bar raisers

Experience managing teams of 5-10+

Demonstrated ability to prioritize development work and build cross-functional consensus across multiple stakeholders

Experience with high scale compute systems deployed on cloud providers such as Amazon Web Services (AWS)

Strong operational background with highly available systems

Bachelor's degree in computer science (or related field)

Experience with Ray.io, particularly Ray Core and Ray Data

Experience with Airflow or similar workflow orchestrators

Proficiency with Python, Java, or other managed languages