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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.
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.
Develops and improves machine learning models to generate high-fidelity simulation data for autonomous driving, focusing on realistic agent behavior and sensor accuracy.
Staff Product Data Scientist at Waymo designs and maintains optimization models to strategically place and scale autonomous vehicle infrastructure like chargers and depots, using data-driven decisions to expand service efficiently.
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.
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.
Develops and deploys machine learning models to evaluate autonomous vehicle behavior in simulation and real-world settings using Python/C++ and deep learning.
Builds and evaluates machine learning models for autonomous vehicle simulations, focusing on realism metrics and integrating foundation models into Waymo's evaluation systems.
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.
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.
Build and scale large vision-language foundation models for autonomous driving, using multimodal pre-training and reinforcement learning to improve scene understanding and autolabeling.
Staff Business Intelligence Analyst at Waymo designs and maintains KPIs and data pipelines to measure operational safety and quality for the autonomous vehicle fleet, using SQL, Python, and BI tools.
Staff Data Scientist designs and runs experiments to improve Waymo’s autonomous ride-hailing marketplace, using causal inference and statistics to guide product decisions.
Lead a team of senior engineers to design and scale the core software platform that assigns and manages tasks for Waymo's autonomous vehicle fleet, ensuring safety and reliability at scale.
Design next-gen SoCs for autonomous vehicles, defining hardware specs and RTL while optimizing performance, power, and latency for Waymo’s compute platform.
Design and build scalable testing systems for autonomous vehicle collision avoidance, integrating simulation tools and mentoring engineers.
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