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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.
Analyzes autonomous driving data to define metrics, validate system performance, and collaborate cross-functionally on hardware/software integration for Waymo’s safety-critical mobility solutions.
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.
Designs scalable quality architectures and meta-QA frameworks to validate Waymo’s autonomous driving system, using Python/C++ and automation to maintain high test coverage and reliability.
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.
Develops and deploys machine-learning recipes for autonomous-driving agents, working with large-scale data, evaluation pipelines, and foundation models to improve safety and realism.
Manage and integrate global security systems (access control, video, alarms) across Waymo’s EMEA sites, ensuring compliance and incident response readiness.
Lead Waymo’s EMEA threat intelligence efforts, producing regional assessments and briefings to mitigate risks to autonomous vehicle operations and personnel.
Lead reliability engineering for Waymo’s LiDAR and other hardware systems, defining test plans, risk analyses, and vendor programs to ensure robust performance from prototyping through production and field deployment.
Build and scale ML systems that continuously improve autonomous vehicle perception models using active learning, data curation, and large-scale pipelines.
Develops and optimizes firmware, drivers, and compute architectures for Waymo’s high-performance autonomous vehicle hardware, focusing on AI workloads and custom silicon.
Designs and optimizes autonomous vehicle infrastructure (depots, service centers) by analyzing workflows, applying Lean/industrial engineering, and collaborating cross-functionally to improve efficiency and scalability for Waymo’s mobility solutions.
Design and build scalable data pipelines and warehouses for Waymo’s autonomous mobility platform, ensuring clean, secure data for analytics and reporting.
Manage partner audits to ensure adherence to Waymo’s standards, address compliance issues, and implement corrective action plans for the autonomous mobility company.
The Staff Site Reliability Engineer will lead the reliability and availability of Waymo's autonomous fleet services and infrastructure. This role involves architecting mission-critical systems, driving operational standards, and mentoring teams using C++, Java, or Python.
Develops AI foundation models for autonomous driving, integrating large-scale systems with production platforms and adapting models to new sensors/platforms while collaborating across Alphabet teams.
Develops and leads next-gen post-training AI systems for Waymo’s autonomous vehicle software, scaling models for global deployment while collaborating with ML and hardware teams.
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