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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.
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.
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.
Develops and maintains automated software frameworks for validating custom silicon in autonomous vehicle compute platforms, using C++, Python, and Bash.
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 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 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.
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