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Designs and delivers technician training programs for Waymo’s autonomous vehicle fleet maintenance, ensuring safety and compliance through hands-on and classroom instruction.
Lead the product vision and strategy for Waymo’s autonomous-vehicle simulator, collaborating with engineering and research to integrate AI/ML models and improve simulation realism for safe AV deployment.
Design next-gen SoCs for autonomous vehicles, defining hardware specs and RTL while optimizing performance, power, and latency for Waymo’s compute platform.
Owns the vehicle cybersecurity roadmap, aligning engineering, product, and operations to design and implement security features for autonomous driving systems across vehicle platforms.
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.
Design and build scalable testing systems for autonomous vehicle collision avoidance, integrating simulation tools and mentoring engineers.
Build and deploy multimodal LLMs and world models for 3D perception in autonomous vehicles using camera, LiDAR, and radar data.
Manage and integrate global security systems (access control, video, alarms) across Waymo’s EMEA sites, ensuring compliance and incident response readiness.
Build and scale ML systems that continuously improve autonomous vehicle perception models using active learning, data curation, and large-scale pipelines.
Design and build scalable data pipelines and warehouses for Waymo’s autonomous mobility platform, ensuring clean, secure data for analytics and reporting.
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