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Engineering Manager, Autonomy Validation Platform & Pipelines
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Overview
Job Description
In this role, you will:
- 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
Qualifications:
- 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)
Bonus Qualifications
- 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
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
