The Director of Engineering - Autonomy will lead the strategic vision for teams developing core components of the autonomy system and its safety architectures. This role focuses on advancing Physical AI through edge-deployed machine learning and ensuring real-time execution with deterministic safety fallbacks. The team is dedicated to transforming real-world operations into high-quality data for autonomous partners, tackling the challenges of collecting long-tail driving data. The position requires collaboration with various departments to ensure safe and effective deployment of autonomous systems.

• 12+ years of professional experience in Software Engineering, Machine Learning, or Autonomous Systems
• 5+ years of leadership experience managing and scaling engineering organizations
• Proven track record of successfully deploying complex, real-time software systems to physical hardware
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field

• Define the technical vision and organizational roadmap for major components of the core autonomy system
• Direct the development of robust edge software and guide the integration of advanced ML models with safety fallbacks
• Champion the transition of cutting-edge AI into production-ready software for vehicle operations
• Build, manage, and mentor a high-performing organization of engineering managers and technical leaders
• Partner with other AV departments to ensure a seamless transition from virtual testing to physical fleet deployment

• Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.