Summary
Marco Scoffier is an engineering leader with 14+ years building production-grade ML and CV systems, currently on NVIDIA’s AI Infrastructure team enabling large-scale, traceable pipelines for autonomous driving. He combines hands-on research experience in 3D sensing, LIDAR/RGB fusion and HDR photogrammetry with product-driven leadership from startups like Canary, where he led software through a critical growth phase while maintaining strong data security and privacy discipline. Earlier work includes DARPA-funded robotics and deep learning programs, collaborations with NYU on econometric ML research, and practical systems work spanning embedded devices to distributed vision backends. Comfortable moving between research and production, he’s known for shipping robust pipelines under tight constraints and for bringing artistic sensibilities (MFA background) to technical problem solving. Based in New York, he also advises early-stage teams on technical validation, team building and growth.
14 years of coding experience
10 years of employment as a software developer
Masters candidate, Computer Science, Masters candidate, Computer Science at New York University
BA, Literature, Art, BA, Literature, Art at Yale University
DNSAP (MFA equivalent), Fine Art, DNSAP (MFA equivalent), Fine Art at Ecole nationale supérieure des Beaux-Arts
French