Forward Deployed Engineer
Core
First technical hands to take validated proof-of-concepts to production for new customers, embedding directly with their teams to build and deploy computer vision workflows in physical environments.
Role type
Senior IC forward-deployed engineer (computer vision/edge)
Builds
Production-grade computer vision systems on edge hardware for new customer deployments
Domain
Computer vision, edge computing, industrial IoT
Deliverable
production ML models
Required skills
Python, systems-level work (Docker, Kubernetes, Linux), deploying ML/CV models to production, edge computing hardware (NVIDIA Jetson, industrial cameras), troubleshooting/debugging, cross-industry deployment experience
Preferred skills
Professional services/deployment engineering background, CV/MLOps tooling, industrial subject matter expertise, IoT/embedded systems background, personal tinkering with hardware/IoT
Technologies
Python, Docker, Kubernetes, Linux, NVIDIA Jetson, industrial cameras
Responsibilities
Build first production deployment from proof-of-concept including data pipelines and edge configuration, operate CV systems on edge hardware in unpredictable physical environments, embed with customer engineering teams for 4–12 weeks to build trust and transfer knowledge, write production-grade code handling real-world constraints like lighting variability and network latency, surface gaps between customer needs and reality to shape product, document architecture and train customer teams for handoff, identify and resolve technical risks early, codify repeatable deployment patterns
Seniority
Senior, hands-on IC
