The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
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.
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.
What they're looking for
- 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.
- PhD in Computer Science or a related field, with a specialization in AI/ML or a related area.
