Edge AI & Computer Vision Program Manager

sidgs; Exton (PA); On-site; USD 120,000 - 170,000; Full time

Job summary

sidgs is seeking a Technical Program Manager to lead end‑to‑end computer vision programs, collaborating with ML, embedded/edge, and hardware teams. You will guide model training, edge deployment, and production rollout across Linux-based vision systems and real‑time data pipelines.

Join a role focused on coordinating cross‑team efforts, validating in industrial environments, and driving data‑driven decisions on latency, performance, and system reliability.

Qualifications

• 3–5+ years of experience in technical program management or systems program management.
• Experience with computer vision, ML systems, edge computing, or embedded systems teams.
• Strong understanding of Linux environments, camera/sensor‑based systems, model training vs. inference trade‑offs.
• Demonstrated ability to manage cross‑functional technical programs involving software, hardware, and data pipelines.
• Strong written and verbal communication skills.

Responsibilities

• Own end‑to‑end delivery of computer vision programs from requirements through edge deployment and production rollout.
• Break down complex CV initiatives into milestones, timelines, and dependencies.
• Manage cross‑team dependencies across ML, embedded/edge, hardware, and industrial systems.
• Partner with CV engineers building YOLO/CNN models to align on execution plans, targets, and deployment readiness.
• Drive programs deploying models on Raspberry Pi, Jetson Nano, CPU/GPU edge platforms.
• Coordinate validation in industrial or field environments, considering latency and hardware limits.
• Identify risks and define metrics like readiness, deployment success, latency targets, and stability.
• Communicate program status and decisions clearly to senior stakeholders.

Skills

Technical program management

Computer vision

Linux environments

Cross-functional leadership

Written and verbal communication

Job description

sidgs is seeking a Technical Program Manager to lead end‑to‑end computer vision programs, collaborating with ML, embedded/edge, and hardware teams. You will guide model training, edge deployment, and production rollout across Linux-based vision systems and real‑time data pipelines.

Join a role focused on coordinating cross‑team efforts, validating in industrial environments, and driving data‑driven decisions on latency, performance, and system reliability.