Senior Staff Software Engineer (DUE Experience)

• The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator
• These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver
• In this hybrid role, you will report to the Engineering Manager
• Define and drive the technical vision and architectural strategy for autonomous, multi-agent systems within the DUE Experience team, focusing on transformative improvements in event triage
• Lead the exploration and application of state-of-the-art agentic technologies to automate complex triage workflows, shifting paradigms from static LLM generation to dynamic reasoning, planning, and execution
• Architect, design, and guide the implementation of scalable, robust agentic frameworks capable of dynamic tool use, self-reflection, and multi-step orchestration
• Collaborate across teams to identify opportunities where agentic workflows and specialized AI agents can autonomously navigate and impact the broader Waymo Driver evaluation lifecycle
• Mentor and provide technical guidance to engineers within DUE Experience and partner teams, fostering innovation and engineering excellence in agentic design patterns
• Identify and advocate for the broad problem(s) worth solving, turning big-picture concepts into actionable projects and roadmaps for human-on-the-loop autonomous systems

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

• Extensive experience (typically 10+ years) in software engineering, with a significant focus on architecting and building large-scale, complex systems
• Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences
• A strong track record of technical leadership, including designing and implementing novel agent-based solutions
• Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience
• Proven ability to define technical strategy, influence senior leadership, and drive execution across multiple teams in ambiguous and rapidly evolving domains
• Deep expertise in Artificial Intelligence and Machine Learning, with heavy, hands-on experience building autonomous agents, multi-agent orchestration systems, and integrating LLMs with external tools/APIs
• PhD in Computer Science or a related field, with a specialization in AI/ML or a related area
• Experience with agentic frameworks, knowledge graphs, and reasoning engines
• Familiarity with autonomous vehicle simulation, testing, or evaluation domains
• Proficiency in C++ and experience with building production-grade services
• Experience working with large-scale data processing and distributed systems
• Familiarity with Google’s or Waymo’s internal AI/ML platforms and infrastructure