About the role

Deployment Engineer at Maneva bringing AI-powered vision systems to manufacturing environments in Canada and the US, ensuring production-ready installations.

Responsibilities

Responsible for bringing Maneva’s AI-powered vision systems to life in real-world manufacturing environments
Lead and execute on-site deployments, working directly with customer hardware, production lines, and operations teams
Ensure systems are installed, calibrated, validated, and production-ready
Travel to manufacturing sites, interface directly with hardware, software deployment, and controls
Troubleshoot issues in live environments
Ensure smooth handoff from development to production
Support data collection efforts to train and improve vision models
Act as the key bridge between Maneva’s internal engineering teams and customer operations

Degree in Electromechanical Engineering, Systems Engineering, Industrial Engineering, or equivalent hands-on industry experience
Prior experience in field deployment, commissioning, or system integration in industrial environments
Hands-on experience working with hardware installation, calibration, and troubleshooting
Ability to work independently onsite and manage deployments in customer facilities
Strong troubleshooting skills and comfort operating in live production environments
Excellent communication skills with customers and cross-functional internal teams
Comfortability with software development in Linux using Python, Docker, Git, operating on edge devices (i.e. Jetson series)
Must be willing to travel to customer sites in Canada and the United States as needed
Experience with machine vision systems, cameras, lighting, and optics
Experience in image processing, video streaming, and/or real-time AI inference pipeline
Experience with industrial camera and image transport protocols (e.g. GenICam)
Experience with PLC integration (e.g., Ethernet/IP, Modbus, Profinet) and control systems
Experience with networking
Experience with IoT deployment and fleet management
Exposure to AI/ML workflows and working with data curation and annotated datasets
Experience in food & beverage, CPG, automotive, or packaging environments
Experience in startup environments or cross-functional hardware/software product teams

Work with cutting-edge Vision AI & IoT solutions that **power autonomous manufacturing, robotics, and industrial automation.
Opportunity to lead in a fast-growing AI company** driving** **real-world impact in industrial AI adoption.
Travel opportunities to industrial sites, tech conferences, and research labs.
Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.