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Design and scale data pipelines and automated closed-loop systems for continuous improvement of perception models. Deploy active learning, curate and prune large datasets, develop evaluation metrics and ground-truth‑free performance measures, and build robust mining, training, and evaluation pipelines for rare, safety-critical scenarios while collaborating with research and operations teams.

Lead the development of a virtual driver's test for Waymo's autonomous driving system, improving software reliability through simulation and collaboration with engineering teams.

As a Privacy Engineer, you will design GDPR-compliant systems, develop data anonymization techniques, and collaborate on privacy-related engineering specifications and assessments.

Lead a small team focusing on system-level optimization and performance enhancement of Waymo's sensor data processing, utilizing CPU and GPU code optimizations.

Develop and train computer vision and multimodal models, design scalable AI frameworks, and improve systems through fine-tuning and reinforcement learning techniques while collaborating with multiple teams.

Lead the development and deployment of large-scale machine learning models, optimize model performance, and enhance collaboration across teams while mentoring junior engineers.

Design and build instrumentation, diagnostics, and onboard architectures to prevent, detect, and debug compute reliability issues across heterogeneous platforms. Lead cross-functional initiatives addressing compiler, optimization, and model-induced faults. Create scalable tools for triage and mitigation of hardware and software failures (deadlocks, memory corruption, races, leaks, latency).

Lead the Sensing Resilience product roadmap for calibration scalability, multi-platform sensing validation, fault recovery, and safe degraded-system driving. Coordinate cross-functional partners (Perception, Hardware, Systems, Simulation, Operations) to translate company goals into deliverables and long-term needs that advance product, business, and safety objectives.

Lead end-to-end reliability program for a Waymo hardware product (e.g., LiDAR) across development, verification, production ramp, and field deployment. Define reliability processes (DFMEA, FTA), develop test and validation programs with vendors, create roadmaps and schedules, evaluate designs and vendors, manage failure analysis and root-cause resolution, and mitigate program-level reliability risks.

Lead and own international expansion programs, coordinate cross-functional market-entry activities (vehicle, software, regulatory, compliance, partners), drive critical paths, remove risks and dependencies, improve workflows, and align stakeholders while reporting program status to senior leadership.