Technical 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

Job Title: Technical Program Manager

The Technical Program Manager is not expected to code models, but must have sufficient technical depth to drive execution, manage trade‑offs, and unblock teams working on Linux‑based vision systems, sensors, PLC‑integrated environments, and real‑time data pipelines.

Key Responsibilities

• Program Ownership & Execution – Own end‑to‑end delivery of computer vision programs, from requirements definition through edge deployment and production rollout.
• Break down complex CV initiatives (model training, fine‑tuning, inference optimization, edge rollout) into clear milestones, timelines, and dependencies.
• Manage cross‑team dependencies across ML, embedded/edge, hardware, industrial systems, and UI/API teams.
• Technical Program Leadership (Computer Vision Focus) – Partner with Computer Vision Engineers building YOLO/CNN‑based models to align on execution plans, performance targets, and deployment readiness.
• Drive coordination across teams deploying models on Raspberry Pi, Jetson Nano, CPU/GPU edge platforms.
• Manage programs involving Linux systems, sensors, industrial cameras, PLC‑connected devices, and real‑time data streams.
• Ensure model training and tuning workflows using Amazon SageMaker are production‑ready and aligned to delivery timelines.
• Edge & Industrial Integration – Drive programs that integrate vision outputs into dashboards and operational tools, APIs and backend platform services, UI and downstream consuming teams.
• Coordinate validation in industrial or field environments, managing constraints like latency, hardware limitations, and environmental variability.
• Risk, Metrics & Delivery Excellence – Identify risks related to model accuracy vs. inference performance, edge hardware constraints, data quality, sensor reliability, and real‑time processing; define and track program metrics such as model readiness, deployment success rates, latency targets, and operational stability.
• Escalate issues early and drive data‑based trade‑off decisions.
• Communication & Stakeholder Management – Communicate program status, risks, and decisions clearly to senior technical and business stakeholders; serve as the single‑threaded owner for Computer Vision programs across multiple teams; translate engineer‑level detail into executive‑level updates.

Basic Qualifications

• 3–5+ years of experience in technical program management or systems program management.
• Experience working 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.

Preferred Qualifications

• Experience with edge AI deployments (Jetson, embedded GPUs, industrial edge devices).
• Familiarity with Amazon SageMaker workflows for model training and tuning.
• Exposure to industrial systems, PLC‑integrated environments, or real‑time streaming architectures.
• Experience delivering systems that integrate ML outputs into APIs, dashboards, or operational UIs.