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Lead cross-functional systems engineering for new autonomous vehicle products: define requirements, perform trade studies, develop verification strategies, innovate hardware/software integration solutions, and define concepts of operations through product lifecycle to deployment.

The Senior Software Engineer will develop multi-agent frameworks, enhance the software development lifecycle, and collaborate on AI-driven tools to improve engineering workflows.

Join Waymo's Simulator Team to develop ultra-realistic sensor data and perception simulation for autonomous vehicles using advanced ML technologies. Collaborate with foundational AI research teams and drive innovation in simulation realism.

Architect and develop a high-performance ML runtime for autonomous vehicles, optimizing for both onboard and offboard systems while collaborating with Waymo ML practitioners and enhancing tooling for performance analysis.

Manage and grow a high-performing network operations team, lead incident management and ITIL governance, validate and deploy network infrastructure, drive automation and operational resilience, and support large-scale, high-bandwidth network environments.

Lead development of evaluation methodologies and KPIs for Waymo's behavior evaluation portfolio. Conduct deep-dive analyses, improve metrics, sampling and inference, and partner with product and engineering to build scalable monitoring and evaluation solutions that inform launch decisions and drive continuous improvement.

Support end-to-end deal finance for fleet partnerships: build complex financial models, structure transactions, advise negotiations, monitor post-deal performance, standardize templates and present data-driven recommendations to leadership.

Lead and mentor a data engineering team, define technical vision and strategy, oversee data pipeline design, and collaborate with cross-functional teams.

Lead a team of software engineers, develop the technical roadmap for data infrastructure, and ensure high-quality distributed systems for data processing.

Lead the development of AI/ML infrastructure for simulations. Collaborate on realism models, scale distributed systems, and ensure alignment with business goals.