Jobs at Waymo

Lead Waymo's global EHS strategy and programs, own enterprise EHS software implementation and data integrity, manage and mentor a team of six, drive innovative risk management, develop global policies and metrics, and provide executive-level EHS reporting while representing Waymo to external authorities.

Lead and manage a team building Waymo's distributed simulation engine. Architect, scale, and operate large distributed systems, improve scheduler throughput and cluster utilization, define roadmaps and best practices, and partner with simulation, ML, and platform teams for high-throughput execution.

Lead full lifecycle technical recruiting across EMEA: source candidates, partner with hiring managers, perform talent assessments and recruiting analytics, manage candidate experience, negotiate and close offers, and improve hiring processes while promoting equitable and inclusive hiring.

Manage the development of engineering designs and specifications for critical infrastructure, ensuring redundancy and compliance with industry standards while leading cross-functional teams and projects.

The role involves developing simulation solutions and orchestration systems for autonomous driving, requiring deep engagement with C++ code, collaboration across teams, and solving complex technical challenges.

As a Senior Android Engineer, you will develop reliable Android components, design in-car systems, and manage the software lifecycle to enhance user experiences in autonomous vehicles.

Lead the automation of EV charging features, integrate vehicle controls with hardware and cloud applications, and manage testing standards and processes.

The Demand Operations Program Manager ensures a positive community presence by managing service quality, mitigating risks at events, and optimizing rider experiences while building community relationships in Florida markets.

The Product Marketing Lead will own go-to-market strategies for U.S. and U.K. markets, ensuring scalability and cross-functional alignment for successful launches and expansions, while overseeing market performance and team leadership.

The Global Workplace Services Manager is responsible for executive-level oversight of service delivery, critical reporting systems, and strategic partnerships in workplace management.

Manage and deploy brand media strategies across digital and offline channels to enhance brand visibility and support growth marketing. Collaborate cross-functionally to analyze investments' impact on growth metrics, and optimize media allocation while guiding agency partners for effective execution.

The Staff Systems Engineer will architect projects affecting systems efficiency, manage cross-functional risks, and support validation through clear technical documentation and collaboration.

Collaborate on fleet partnership deals, develop financial models, present insights to leadership, and evaluate post-deal performance to enhance capital deployment.

Manage supply chain readiness and resilience, analyze supply chain health, identify risks, liaise with suppliers, and drive initiatives.

As a Full-Cycle Technical Recruiter, you will manage recruiting from sourcing to closing while enhancing candidate experience and relationships. You will partner with hiring managers, perform analysis, and optimize search strategies.

The role involves developing and scaling machine learning methods for autonomous driving, monitoring and analyzing ML systems, and optimizing models for real-world applications.

Lead the architectural design and strategy for Waymo's data platforms, ensuring metrics consistency and efficient data governance. Mentor engineers and collaborate with teams to enhance data systems and support autonomous technology deployment.

Lead design and execution of data selection, incremental model updates, deployment, and in-field monitoring for large-scale perception ML models. Build and grow teams, define technical roadmaps and OKRs, make staffing and technical decisions, and ensure reliable delivery for an ML system serving millions of rides.

Design and implement C++ software models for ML accelerators, develop tools for performance analysis, and collaborate with cross-functional teams.

As a Machine Learning Engineer, you will apply ML techniques for perception tasks, develop model training methods, and evaluate performance in autonomous driving applications.