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Leads development of deep learning and generative AI models to evaluate and improve Waymo’s autonomous driving systems, using large-scale data and ML frameworks like TensorFlow and PyTorch.
Develops and optimizes machine learning models for autonomous vehicle perception systems, using large-scale sensor data and frameworks like PyTorch or JAX.
Leads the design and implementation of evaluation systems for large vision and language models used in autonomous driving, building benchmarks to assess model quality, safety, and realism.
Builds and scales core infrastructure for Waymo’s autonomous ride-hailing and fleet systems, collaborating across teams to deliver mission-critical tools and services.
Develops machine learning models for autonomous vehicle planning, improving real-time decision-making in complex urban driving scenarios using C++ or Python.
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 implements metrics to evaluate autonomous driving software performance using simulation, real-world logs, and statistical analysis, primarily in C++ and Python.
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.
Staff Software Engineer at Waymo designing and leading evaluation frameworks for autonomous driving simulation, blending C++/Python systems with AI-driven virtual environments to validate realism.
Develops backend systems and APIs to improve autonomous ride-hail services, focusing on rider experience in complex venues and operational data analysis for Waymo’s fleet.
Leads autonomous driving software development and cross-functional teams at Waymo, defining technical roadmaps and managing performance while collaborating on backend (C++, Spanner) and frontend (Angular/React) systems for self-driving vehicles.
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.
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…
Designs and runs automated tests to validate radar and other sensors for Waymo’s autonomous vehicles, analyzing data and coordinating with cross-functional teams to ensure safety and performance.
Leads a backend engineering team to build and maintain high-performance data pipelines for autonomous vehicle simulation and real-world performance analysis, using C++, Python, and SQL.
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.
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