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Senior Software Engineer at Waymo designing and maintaining scalable data pipelines to process petabytes of sensor data for autonomous driving ML models, using C++/Python and cloud data tools.
Develops and evaluates autonomous driving software through simulation and real-world testing to ensure safety and reliability before deployment.
Waymo’s Software Quality Operations Specialist in London designs and deploys AI/ML tools to detect autonomous vehicle issues, triage driving events, and scale operations for new international markets like London.
Senior engineer building ML infrastructure for Waymo's ride-hailing marketplace—scaling the economic engine and automating ML model training, deployment, and inference for real-time pricing, matching, and routing decisions. Core tech includes Java/C++, Python, TensorFlow/PyTorch, and large-scale backend systems.
Leads the development of a simulation-based fault-detection system for Waymo’s autonomous driving software, ensuring reliability through large-scale distributed testing and ML-driven analysis.
Develops and refines algorithms for autonomous vehicle motion planning, ensuring safe and predictable driving behavior in complex real-world scenarios using C++ and data pipelines.
Designs and builds privacy systems for autonomous vehicles, ensuring GDPR compliance through anonymization, data pipelines, and access controls while collaborating with legal and engineering teams.
Builds and scales C++ backend services for 3D and data visualization tools that stream autonomous driving logs and telemetry to engineers, using high-throughput distributed systems and RPC frameworks.
Leads a team of data engineers to build and maintain Waymo's Commercialization Data Lake and pipelines, ensuring scalable, reliable data systems for autonomous vehicle operations.
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…
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.
Leads cross-functional programs to integrate simulation into machine learning workflows for autonomous driving, coordinating releases and scaling ML-based evaluation tools.
Lead a team of Technical Program Managers to define and execute Waymo's long-term strategy for simulation and ML evaluation platforms, integrating ML deeply into development workflows and scaling infrastructure for autonomous driving.
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.
Oversee the end-to-end creation of labeled datasets for Waymo’s autonomous driving ML models, coordinating cross-functional teams, vendors, and quality processes to deliver high-volume, high-accuracy data.
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.
Senior Product Data Scientist at Waymo building forecasting and optimization models to guide autonomous vehicle deployment, capital investment, and long-term growth planning using Python, SQL, and ML.
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