Vision System Deployment Engineer

Brief Job Description: 

Vision System Deployment Engineer

Job Architecture Title: Vision System Deployment Engineer
Job Family: Advanced Manufacturing Engineering
Function / Department: Global AME – Connected Factory / Quality Automation
Role Type: Individual Contributor
Scope: Global
Location: Flexible (Manufacturing Site Based)

Position Summary

The Vision System Deployment Engineer is responsible for the end‑to‑end deployment, standardization, and sustainment of automated vision inspection systems across Vertiv manufacturing facilities.

This role ensures vision systems are production‑ready, integrated into the manufacturing digital backbone, and deliver measurable quality outcomes aligned with Vertiv’s Zero Faults Forward (ZFF) strategy. The engineer bridges inspection intent, manufacturing reality, and digital infrastructure, converting use cases into scalable, repeatable vision solutions deployed at the point of error creation. 

Key Responsibilities

Vision System Deployment & Industrialization

• Lead the deployment of automated vision systems (fixed, mobile, or portable) from use‑case intake through production release.
• Translate inspection objectives, failure modes, and process constraints into validated vision system configurations (lighting, optics, camera placement, triggers).
• Execute factory‑level commissioning, including MSA validation, false‑accept / false‑reject tuning, and operational readiness.
• Ensure solutions meet cycle time, ergonomics, and operator interaction requirements defined at the station level. 

Standardization & Bill of Process Alignment

• Implement vision systems in accordance with the Vision System Specification and applicable Bill of Process (BoP / CBoP) standards. 
• Define and maintain vision system recipes, version control, and change management.
• Contribute to the evolution of the Vision System Bill of Process to enable rapid, repeatable global deployment.

Digital Integration & Data Management

• Ensure all vision systems are integrated into the Connected Factory platform for: 
  • Automated recipe selection
  • Image and inspection result capture
  • Unit‑level birth history traceability
• Validate data quality, retention, and accessibility for quality analytics and customer records. 
• Coordinate with IT and OT teams to meet network, security, and device constraints (e.g., approved hardware platforms).

Cross‑Functional Execution

• Partner with Quality, Manufacturing Engineering, Operations, and IT to prioritize and deploy vision use cases.
• Support plant teams during ramp‑up, training, and early production stabilization.
• Act as a technical interface with vision system vendors and integrators, ensuring solutions align with Vertiv standards and factory realities.

Continuous Improvement & Portfolio Scaling

• Monitor deployed system performance (false calls, uptime, escape prevention).
• Identify opportunities to standardize or replicate solutions across like‑type processes and factories.
• Provide technical input into RFPs, technology evaluations, and roadmap decisions for vision platforms. 

Required Qualifications

• Bachelor’s degree in Engineering (Manufacturing, Electrical, Mechanical, Mechatronics, Computer Engineering, or related).
• Experience deploying industrial vision systems in a manufacturing environment.
• Working knowledge of: 
  • Camera systems, lighting strategies, optics
  • Industrial automation environments (PLC‑triggered inspections, station integration)
  • Manufacturing quality systems and error‑proofing concepts
• Experience commissioning systems on the shop floor (not just developing algorithms).

Preferred Qualifications

• Experience with AI/ML‑based vision systems in production environments.
• Familiarity with mobile or portable vision deployments (tablets, handheld, wearable concepts) and associated IT constraints. 
• Experience integrating inspection data into MES, quality systems, or digital manufacturing platforms.
• Background in Zero Defect / Zero Fault Forward strategies.
• Ability to work across global sites and adapt solutions to varying process maturity levels.

Key Success Measures (What “Good” Looks Like)

• Vision systems consistently detect targeted failure modes with controlled false‑call rates.
• Systems are deployed on time, production‑ready, and adopted by operators.
• Inspection results are reliably linked to unit birth history and accessible for quality analysis.
• Solutions are reusable across factories, not one‑off custom builds.
• Measurable reduction in escapes, rework, or manual inspection dependency.

Travel Requirements

30%