Continuous Integration Developer tasked with architecting enterprise - scale CI/CD systems for GM’s virtual development platform. Focusing on automation, cloud orchestration, and embedded systems integration.
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
Requirements
- 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
Benefits
- 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.
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