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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…
Leads a team developing machine learning models to evaluate and improve autonomous vehicle behavior using deep learning, Gen AI, and large-scale simulation systems.
Technical Program Manager at Waymo plans and executes projects for autonomous driving systems, coordinating engineering, product, and research teams to deploy AI-driven vehicle technology.
Senior ML engineer at Waymo building and evaluating AI-driven simulation systems to validate realism of autonomous driving scenarios using generative models and multimodal evaluation tools.
Lead the architecture and infrastructure for consolidating onboard ML models in Waymo’s autonomous driving system, designing C++ frameworks for inference and simulation while collaborating with cross-functional teams.
Lead the design and development of advanced agentic AI systems for autonomous vehicle evaluation, using LLMs and multi-agent orchestration to automate triage and complex reasoning loops.
Designs and optimizes large vision-language and language models for autonomous driving, focusing on hardware-aligned architectures and on-device performance in a safety-critical environment.
Leads the product roadmap for autonomous vehicle sensing resilience, coordinating calibration, validation, and fault recovery across hardware and software teams to ensure safe, scalable autonomous driving.
Oversee physical security programs across Waymo’s London sites, managing guard forces, incident response, and vendor contracts while coordinating with law enforcement and cross-functional teams.
Senior ML Engineer builds and deploys computer vision and vision-language models to generate high-fidelity labels for autonomous driving, using deep learning, generative AI, and reinforcement learning at scale.
Designs and builds reliability tools and architectures to prevent, detect, and debug software and hardware issues in autonomous vehicle compute platforms, using C++, CUDA/GPU/TPU, and LLVM/XLA.
Senior Product Manager at Waymo defining and executing the product roadmap to optimize autonomous vehicle fleet operations, including depot throughput and digital twin development, using data-driven insights and cross-functional collaboration.
Develops and maintains petabyte-scale data systems and ML pipelines for autonomous driving foundation models using frameworks like JAX and Flume/Beam.
Build and optimize large-scale C++/Python data pipelines for autonomous-driving simulation, focusing on realistic multi-modal sensor data and robust data lifecycle management.
Develops and refines algorithms for autonomous vehicle motion planning, ensuring safe and predictable driving behavior in complex real-world scenarios using C++.
Manages and scales Waymo’s global emergency response team, integrating protocols with business continuity plans and coordinating with public safety agencies during crises.
Leads a production team to build and maintain high-definition maps for Waymo’s autonomous driving system, coordinating vendor operations and cross-functional stakeholders to ensure scalable, high-quality mapping.
Lead data science initiatives to model weather impacts on Waymo's autonomous ride-hailing service, integrating weather data sources and optimizing operational responses to adverse conditions.
Manages regulatory reporting for Waymo’s autonomous vehicle operations, ensuring compliance with global data submission requirements and collaborating with cross-functional teams.
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