Engineering Manager leading Perception Occupancy and Rare Events team at Zoox. Responsible for developing high-impact perception systems and collaborating within AI teams.
Responsibilities
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.
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.
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 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.
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.
Requirements
Strong understanding of computer vision systems, AI software stacks, and sensor fusion across multiple modalities.
3+ years of technical leadership experience, 10+ years of experience in computer vision, machine learning and related fields.
Strong leadership skills in recruiting, leading, growing, and managing technical team members in solving challenging problems, and building critical components of a real-time system
Expertise in implementing autonomy solutions and deploying real-world systems
Experience with recent AI approaches including VLM, LLM, Transformers and GenAI (3D/4D GS, Diffusion, NeRF).
Benefits
paid time off (e.g. sick leave, vacation, bereavement)
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