Engineering Manager, Autonomy Validation Platform & Pipelines

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

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.