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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 scaling of AI/ML infrastructure for billion-parameter foundation models used in ultra-realistic autonomous-driving simulations, collaborating with research teams to improve simulation fidelity.
Builds and scales core infrastructure for Waymo’s autonomous ride-hailing and fleet systems, collaborating across teams to deliver mission-critical tools and services.
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.
Engineer safety systems for autonomous vehicles, performing hazard analyses, defining safety requirements, and guiding design decisions to ensure compliance with regulations and industry standards.
Designs and validates perception systems for autonomous vehicles, ensuring safety and performance through statistical analysis, simulation, and fleet data tools.
Integrates and debugs hardware and software components for autonomous vehicle platforms, collaborating with vendors and cross-functional teams to deploy self-driving systems.
Designs and maintains automated test pipelines for autonomous vehicle systems, ensuring reliability and performance across hardware and software platforms.
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.
Technical Program Manager at Waymo plans and executes projects for autonomous driving systems, coordinating engineering, product, and research teams to deploy AI-driven vehicle technology.
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.
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.
Leads the product roadmap for autonomous vehicle sensing resilience, coordinating calibration, validation, and fault recovery across hardware and software teams to ensure safe, scalable autonomous driving.
Senior ML Engineer builds and deploys computer vision and vision-language models to generate high-fidelity labels for autonomous driving, using deep learning, generative AI, and reinforcement learning at scale.
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.
Senior Product Manager at Waymo defining and executing the product roadmap to optimize autonomous vehicle fleet operations, including depot throughput and digital twin development, using data-driven insights and cross-functional collaboration.
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.
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