Forward Deployed Engineer

📋 Description 0-to-1 deployment: turn proof-of-concepts into production deployments. Edge-first engineering: deploy CV systems on edge hardware in the field. Embed with customers: on-site or deeply embedded deployments (4–12 weeks). Production engineering: write production-grade code for customer environments. Be our eyes and ears in the field: surface gaps to Product/Engineering. Knowledge transfer & handoff: document architecture and train customer teams. 🎯 Requirements Strong proficiency in Python. Docker Kubernetes Linux networking Experience with edge computing hardware (NVIDIA Jetson, industrial cameras). Production deployment experience for ML/Computer Vision. Willingness to travel ~40–50% for on-site deployments. 🎁 Benefits $4000/yr Travel stipend $350/mo Productivity stipend $350/mo AI Tools $500 one-time Home office Health insurance coverage for you and your family Equity in the company