The role serves as the primary infrastructure lead for the European engineering cohort, ensuring system reliability and 24/7 continuity. Responsibilities include managing GCP-based workloads, automating deployments, and building internal tooling to support regional customer needs.
Design, implement, and optimize state-of-the-art computer vision and visual-language models for real-world retail edge deployments. Bridge exploratory research with production engineering by executing data-backed analysis to validate algorithm performance.
Manage end-to-end technical rollouts of spatial AI solutions across retail partner stores, coordinating hardware, firmware, and software deliverables. Establish standardized technical plans and metrics-driven cadences to ensure high-quality, repeatable deployment processes.
You will develop and integrate custom computer vision models, active learning workflows, and pre-labeling agents to accelerate data annotation. Additionally, you will build high-performance front-end interfaces to map spatial metadata and product images onto digital retail planograms.
Drive market expansion by acquiring new global retail logos and forging scalable strategic partnerships. Develop compelling business cases to transition customers from initial pilots to full enterprise-wide deployments.
Lead a multi-disciplinary engineering team to build and scale AI-driven spatial computing applications for physical commerce. Define the technical roadmap and balance high-level strategy with the day-to-day execution of engineering goals.
