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Lead Technical Strategy: Build and lead a team of managers and engineers responsible for core occupancy modeling and rare event detection, driving the team’s roadmap, productivity, and execution.
Drive Model Evolution: Own the development and deployment of critical perception models, overseeing the consolidation of multi-modal architectures and guiding technical design to enhance detection range, robustness and accuracy.
Innovate with Advanced ML: Lead the adoption of state-of-the-art computer vision and machine learning techniques—such as foundation models and efficient geometrics representations—to improve performance on long-tail classes and support geofence expansion and fleet size expansion.
Collaborate on Simulation & Data: Collaborate cross-functionally with simulation and data teams to leverage synthetic data and edge-case scenarios, ensuring the perception system performs reliably in adverse weather and safety-critical environments.
Ensure Organizational Excellence: Drive organizational health by balancing technical leadership with people management, establishing best practices for data-driven decision-making, and enabling the team to scale effectively.
Familiarity with perception of autonomous vehicles or similar robots
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Hands-on experience having deployed real products or platforms into the real world, and intimately understanding the challenges of working with complex systems
Involvement in validation or evaluation of risk and/or safety-critical systems
Zoox, an Amazon subsidiary, develops purpose-built autonomous robotaxis designed from the ground up for rider comfort without a traditional driver's seat.
Full-time
Manager · 10+ years experience
Hybrid
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