Technical Lead Manager, Eval Data Platform

Waymo • Mountain View, NY

10d • Hybrid

About The Position

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 mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team’s job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data. In this hybrid role, you will report to the Sr. Staff Manager.

Requirements

• PhD degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.
• Extensive experience in backend or infrastructure engineering, specifically building large-scale distributed systems or data processing platforms.
• A proven track record of technical leadership, having successfully led complex projects from initial concept through global deployment.
• Expertise in data modeling and systems design, with the ability to optimize for high-throughput data retrieval and analysis.
• Proven experience in people management, with a track record of developing junior engineers and mentoring high-performers.
• Strong proficiency in C++ or Python, along with experience in cloud infrastructure and big data technologies (e.g., MapReduce, Spanner, or similar).
• Exceptional communication skills, with a demonstrated ability to influence technical direction across multiple teams and stakeholders.

Nice To Haves

• Experience in the Autonomous Vehicle (AV) industry, particularly in areas related to simulation, evaluation, or machine learning infrastructure.
• Advanced degrees (Masters or PhD) in Computer Science, Robotics, or a related quantitative field.
• Familiarity with data visualization and analytics tools that help translate raw engineering metrics into actionable safety insights.
• A passion for safety-critical systems and the desire to solve the "long tail" of challenges inherent in autonomous driving.

Responsibilities

• Lead the technical design and development of high-performance data platforms tailored for large-scale evaluation of autonomous driving software.
• Define long-term technical strategy and multi-year roadmaps, transforming ambiguous product requirements into concrete, high-impact engineering deliverables.
• Architect systems for data set curation, sampling, and slicing, ensuring that our evaluation pipelines are both representative of real-world complexity and computationally efficient.
• Manage a medium size team (5-7) of junior and senior SWEs, organizing them into effective workgroups with clear missions, projects, and APIs.
• Drive cross-functional execution, collaborating with Research, Product, and Safety teams to enable rigorous data-driven decision-making for behavioral evaluation.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree