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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.
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.
Develops and maintains automated software frameworks for validating custom silicon in autonomous vehicle compute platforms, using C++, Python, and Bash.
Develops and maintains petabyte-scale data systems and ML pipelines for autonomous driving foundation models using frameworks like JAX and Flume/Beam.
A senior machine learning engineer at Waymo optimizes generative models and simulations for autonomous driving, focusing on performance, efficiency, and scalability using advanced ML techniques and hardware accelerators.
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 maintains scalable, low-latency ML inference pipelines and platforms for autonomous driving models, working with large-scale distributed systems and C++.
Develops and deploys machine learning models to evaluate autonomous vehicle behavior in simulation and real-world settings using Python/C++ and deep learning.
Leads the design and implementation of autonomous agent systems to evaluate and improve Waymo's self-driving technology, focusing on multi-agent orchestration and AI-driven workflows.
Leads a team of engineers to build and maintain systems that monitor and diagnose autonomous vehicle fleets across global markets, focusing on Japan’s driving environment and Waymo’s scaling needs.
Develops real-time 3D visualization systems for autonomous vehicles, using C++, Kotlin, OpenGL ES/Vulkan, and Android graphics to render in-car infotainment displays.
Lead the design and deployment of auto-labeling systems and computer vision models to scale data pipelines for autonomous driving, using C++, Python, PyTorch, and TensorFlow.
Develops and maintains mission-critical web applications for real-time collaboration between human operators and autonomous vehicles, using full-stack technologies to ensure low-latency, high-reliability systems.
Develops and deploys machine learning models to improve autonomous driving behaviors, ensuring safety and performance at scale using C++ and Python.
Design next-gen SoCs for autonomous vehicles, defining hardware specs and RTL while optimizing performance, power, and latency for Waymo’s compute platform.
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