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Senior engineer building AI/ML infrastructure for autonomous-driving simulations, scaling multi-billion-parameter foundation models on large distributed systems.
Senior Software Engineer at Waymo optimizing distributed ML training pipelines for autonomous driving models using TensorFlow, JAX, and Grain.
Senior/Staff ML Engineer at Waymo building ultra-realistic 3D/4D world models and generative systems for autonomous vehicle simulation using advanced ML techniques like diffusion models and VLMs.
Lead the design and development of machine learning systems to evaluate and improve Waymo's autonomous driving technology, focusing on reinforcement learning, generative models, and large-scale simulation workflows.
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.
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.
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…
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.
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.
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.
Leads cross-functional programs to integrate simulation into machine learning workflows for autonomous driving, coordinating releases and scaling ML-based evaluation tools.
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.
Build and scale large vision-language foundation models for autonomous driving, using multimodal pre-training and reinforcement learning to improve scene understanding and autolabeling.
Build and operate petabyte-scale ML pipelines and infrastructure to train, benchmark, and deploy foundation models for Waymo’s autonomous driving systems using frameworks like JAX and Flume.
Build and deploy multimodal LLMs and world models for 3D perception in autonomous vehicles using camera, LiDAR, and radar data.
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