Staff Engineer (Agentic AI Engineering)

Join Waymo, a leader in autonomous driving technology. As a Staff Engineer in the Planner Evaluation team, you will design, build, and deploy production-grade agentic AI systems to solve complex evaluation challenges. You will develop robust, automated evaluation frameworks and objective metrics to continuously measure the accuracy, safety, and reliability of non-deterministic AI agents. This hybrid role offers competitive compensation, comprehensive benefits, and opportunities for professional growth.

• Design, build, and deploy production-grade agentic AI systems to solve complex, open-ended evaluation challenges.
• Develop robust, automated evaluation frameworks and objective metrics to continuously measure the accuracy, safety, and reliability of non-deterministic AI agents.
• Automate the building and scaling of the hardest evaluation problem inhibiting Waymo's scale.
• 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
• Proven ability to define technical strategy, influence senior leadership, and drive execution across multiple teams in ambiguous and rapidly evolving domains
• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
• Extensive experience (typically 7+ years) in software engineering, with a significant focus on architecting and building large-scale, complex systems
• Proven technical leader with a track record of designing, building, evaluating, and deploying novel agent-based AI solutions into production
• Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences
• 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 Google's or Waymo's internal AI/ML platforms and infrastructure
• Familiarity with autonomous vehicle simulation, testing, or evaluation domains
• Proficiency in C++ and experience with building production-grade services