TL;DR

Engineering Manager, Autonomy Validation Platform & Pipelines (AI/Distributed Systems): Leading and growing an infrastructure team responsible for developing and owning platforms for mass-scale autonomy validation and safety pipelines. Focus on designing large-scale distributed systems, compute frameworks, automating complex business processes, and establishing operational excellence for mission-critical SLAs.

Location: On-site in Foster City, CA

Salary: $240,000–$300,000 a year

Company

Zoox is a company focused on developing fully autonomous vehicles, leveraging AI and large-scale simulation for safety validation.

What you will do

  • Develop a vision and roadmap for designing, building, and owning compute frameworks and platforms for running autonomy validation pipelines at scale.
  • Automate complex business processes around dataset preparation, compute resource management, and safety metrics signoff for AI teams and other software customers.
  • Build operational excellence for highly available systems, including on-call roles, service ownership, and manual toil reduction.
  • Align goals and progress with Zoox milestones across Autonomy versions and launch locales.
  • Grow and expand the team by owning all stages of the hiring and career development process.

Requirements

  • Experience managing teams of 5-10+ people.
  • 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 AWS.
  • Strong operational background with highly available systems.
  • Bachelor's degree in computer science (or related field).
  • Must be able to work on-site in Foster City, CA.

Nice to have

  • 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.

Culture & Benefits

  • Opportunity to help define Zoox’s autonomy validation and scaling strategy both technically and organizationally.
  • Comprehensive benefits package including paid time off (e.g., sick leave, vacation, bereavement).
  • Compensation includes base salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights.
  • Health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
  • Responsibility for hiring and maintaining the health of your team, as well as growing and coaching them.