About the job
The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! In this hybrid role, you will report to a Senior Engineering Manager.
Responsibilities
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 eval problem inhibiting Waymo's scale.
Qualifications
Minimum
Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
Proven technical leader with a track record of designing, building, evaluating, and deploying novel agent-based AI solutions into production
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.
Extensive experience (typically 7+ years) in software engineering, with a significant focus on architecting and building large-scale, complex systems.
Proven ability to define technical strategy, influence senior leadership, and drive execution across multiple teams in ambiguous and rapidly evolving domains.
Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
Preferred
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.
Proficiency in C++ and experience with building production-grade services.
Familiarity with autonomous vehicle simulation, testing, or evaluation domains.
Familiarity with Google's or Waymo's internal AI/ML platforms and infrastructure.