• Technical Strategy & Roadmap: Define and execute the long-term technical vision for applied computer vision systems, identifying high-impact opportunities and guiding architectural decisions. • Complex Problem Solving: Architect and own real-time perception and scene-understanding solutions designed to operate reliably in complex, real-world environments. • Advanced Data Fusion: Lead efforts to combine computer vision with additional sensor inputs to improve robustness, accuracy, and contextual understanding. • Hardware–Software Co-Design: Collaborate with hardware and firmware teams to optimize vision algorithms for deployment on resource-constrained edge devices, ensuring low latency and high reliability across diverse conditions. • End-to-End Ownership: Oversee the full lifecycle of machine learning solutions—from data strategy and model development to deployment, monitoring and iterative improvement in production. • Technical Leadership & Mentorship: Act as a senior technical authority for computer vision and applied ML; mentor scientists and engineers and promote a culture of rigorous, production-oriented development. • Cross-Functional Influence: Partner with Product, Engineering, and other stakeholders to translate high-level requirements into scalable, technically sound solutions. • Strategic Innovation: Stay current with advances in AI and computer vision research, identifying techniques that can be adapted for practical, real-world applications.