Engineering Manager, Autonomy Validation Platform & Pipelines

Added
8 days ago
Type
Full time
Salary
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Related skills

java aws python airflow ray.io

πŸ“‹ Description

  • Develop a vision and roadmap for compute frameworks and validation pipelines.
  • Collaborate with AI teams to automate dataset prep, resources, and safety signoff.
  • Establish operational excellence with on-call roles, ownership boundaries, and toil reduction.
  • Align goals with Zoox milestones across Autonomy versions and launch locales.
  • Grow and expand the team through hiring, interview loop design, and coaching.

🎯 Requirements

  • Experience managing teams of 5–10+.
  • Prioritize work and build cross-functional consensus.
  • Experience with high-scale compute systems on AWS.
  • Strong operational background with highly available systems.
  • Bachelor's degree in CS or related field.
  • Experience with Ray.io (Ray Core and Ray Data).
  • Experience with Airflow or similar workflow orchestrators.
  • Proficiency with Python, Java, or other managed languages.

🎁 Benefits

  • Paid time off including sick leave, vacation, and bereavement.
  • Unpaid time off.
  • Zoox Stock Appreciation Rights and Amazon RSUs.
  • Health insurance and disability coverage.
  • Life insurance.
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