Technical Lead Manager (Pullover Manuevers)

• Waymo is rapidly scaling its driving technology to new cities and geographies. A continual focus on operational efficiency, compliance, and safety is critical to this mission. The Driver Refinement & Validation organization builds the technology and tools to rapidly discover, iterate, and mitigate complex vehicle behaviors while scaling performance in a data-driven way
• The PUDOs (Pick-up/Drop-off) team is directly responsible for perfecting how our fully autonomous car executes pullovers—improving key driving scenarios like passenger pick-ups and drop-offs, parking, and deliveries. As we expand, our goal is to build the advanced signals and software necessary to seamlessly scale the Waymo Driver’s performance across these critical real-world touchpoints in every new market
• In this role, you will report to a Technical Lead Manager
• Work closely with Technical Leads and Technical Lead Managers in the org to design and implement horizontal solutions to solve behavioral driving across PUDOs (pick up & drop off)
• Build quantitative evaluation techniques of on-road performance to drive data-driven development
• Work closely with partners across Product and the Onboard stack
• Provide mentorship for junior engineers on the team
• Develop foundational frameworks that help advancement of the Waymo Driver’s capabilities
• Directly contribute to solving some of the most challenging driving situations in the long tail

Benefits

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
• Access to mental health apps
• Onsite wellness centers
• Medical advocacy program for transgender employees
• Support programs including menopause benefit
• Second medical opinion for you and your loved ones
• Counseling services
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• 1-on-1 financial coaching
• Annual cross-company compensation review and pay equity analysis
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Backup childcare
• Elder care and support
• Survivor income benefit
• Caregiver leave
• Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
• Jury duty leave
• Military leave
• Hybrid work model with remote work opportunities also available
• Educational reimbursement
• Peer learning and coaching platform
• Donation matching programs
• Employee resource groups
• Volunteer hours
• Internal community groups and local culture clubs
• Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
• On-site meals and snacks
• Fitness centers, massage programs, and ergonomic support
• On-demand fitness, wellbeing, and cooking classes
• Commuter benefits- PhD, Masters, or Bachelors degree in Computer Science, Machine Learning, Robotics
• Two or more years of management experience
• Experience with working and solving design problems that span multiple components
• Ability to collaborate within and across teams
• High quality API design with an eye towards evaluation and data-driven techniques
• Evaluation experience, contributing to scalable eval workflows and building metrics for ML models and analyzing large datasets
• 8+ years of Software Engineering experience in complex systems
• AV or Robotics experience
• Coding proficiency in C++, Python, and SQL
• Experience with Machine Learning models in production systems