Technical Lead Manager, Perception, Traffic Control Understanding

Job Summary

The Waymo Scene Understanding Team is seeking a Technical Lead Manager (TLM) to lead the development and deployment of deep learning models that enable the Waymo Driver to understand complex, unstructured environments like active construction zones and temporary traffic signs. This role requires a strong background in computer science, machine learning, and experience leading and scaling engineering teams.

About the Role

As a TLM for Scene Understanding, you will be responsible for owning a specific domain within scene understanding, working closely with product and safety partners to develop technical roadmaps and drive their execution. You will also be accountable for building and leading a resilient and high-performing team of engineers.

Responsibilities

• Own a specific domain within scene understanding, such as traffic controls or construction zones
• Work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals
• Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution
• Build resilient and high performing teams through people development and hiring
• Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects

Requirements

• Bachelor's degree in Computer Science or equivalent deep learning experience
• 7+ years of experience building and deploying deep learning/computer vision models in production environments, ideally within the AV or robotics space
• 2-3+ years of experience directly managing and scaling engineering/research teams (managing 5+ reports)
• Fluency in Python, C++, and deep learning frameworks (PyTorch, JAX)

Qualifications

• MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
• Publications at top-tier conferences like CVPR, ICCV, ECCV, NeurIPS
• Experience with C++
• Experience with real-time system design