Deployment Engineer

About Maneva

Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting‑edge AI solutions for autonomous factory operation and optimization. Our solution generates AI‑powered actions and insights using off‑the‑shelf hardware or existing vision systems for real‑impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.

As aDeployment Engineer at Maneva,you’llbe responsible for bringing

Maneva’sAI-powered vision systems to life in real‑world manufacturing environments. You will lead and execute on‑site deployments, working directly with customer hardware, production lines, and operations teams to ensure systems are installed, calibrated,validated, and production‑ready.

This role is highly hands‑on and customer‑facing. You will travel to manufacturing sites, interface directly with hardware, software deployment, and controls, troubleshoot issues in live environments, and ensure smooth handoff from development to production. You’llalso support data collection effortsrequiredto train and improve vision models, acting as the key bridge between

Maneva’sinternal engineering teams and customer operations.

• Execute and support on‑site deployment of AI vision systems at customer facilities
• Install, configure, calibrate, and validate cameras, lighting, compute, and I/O hardware
• Interface directly with industrial equipment, sensors, and control systems during deployment
• Troubleshoot hardware, software, networking, and integration issues in live production environments
• Ensure successful handoff from development to production, including documentation and operator readiness
• Coordinate and support data collection efforts in customer environments when required
• Communicate regularly with customers and internal teams on deployment status, issues, and feedback
• Work closely with software, ML, and operations teams to resolve field issues and improve deployability
• Document deployment configurations, learnings, and best practices for internal and customer use

• 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.

Important Notice:
Protecting Your Personal Information

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If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT‑Security.