Senior Software Engineer (Mapping Data & Eval)

• The Roadgraph team builds the intelligent platform and automated pipelines that create, validate, and scale the high-definition geo knowledge base powering the Waymo Driver. We combine applied machine learning, computer vision, statistical evaluation, and large-scale distributed systems to solve one of the most foundational and exciting challenges in autonomous driving
• High-definition mapping is a foundational pillar enabling the Waymo Driver to navigate safely, smoothly, and reliably. To rapidly expand commercial autonomous ride-hailing to new cities and continents, we must scale our automated mapping pipelines
• This role sits at the center of that mission—building the applied ML models, evaluation engines, and large-scale data infrastructure that transform real-world sensor streams into the world’s most precise and reliable spatial knowledge base
• We work closely with onboard engineers to solve problems in an end to end fashion. You will be working on all aspects of the modeling life cycle (labeling, training, evaluation, inference), put your models to work, and measure impact on the overall system
• Evaluate and launch machine learning models that automatically generate map from raw data
• Work with onboard teams to evolve Waymo’s mapping format to make it more automation friendly
• Apply statistical analysis to validate large-scale changes
• Build backend infrastructure for storing and processing many forms of map data
• Scale our systems to support mapping the whole world

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
• Counseling services
• Second medical opinion for you and your loved ones
• Support programs including menopause benefit
• Medical advocacy program for transgender employees
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• Annual cross-company compensation review and pay equity analysis
• 1-on-1 financial coaching
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Backup childcare
• Survivor income benefit
• Elder care and support
• 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
• Volunteer hours
• Employee resource groups
• 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

• Hands-on experience with statistical analysis, experiment design, and quantitative evaluation of ML models or data pipelines
• Experience building scalable data processing pipelines using distributed frameworks like Google Data Flow or Apache Beam
• Demonstrated ability to take ownership of complex technical problems end-to-end and deliver measurable results in a collaborative team environment
• B.S. in Computer Science or a similar technical field, or equivalent practical experience
• A passion for good software engineering
• Master’s or Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related quantitative field
• Experience with high-performance computing, C++ optimization, and large-scale distributed systems architecture
• Domain familiarity with autonomous vehicles, robotics, high-definition (HD) mapping or GIS/spatial databases