Advanced Manufacturing Engineering Specialist

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 endtoend deployment standardization and sustainment of automated vision inspection systems across Vertiv manufacturing facilities.

This role ensures vision systems are productionready integrated into the manufacturing digital backbone and deliver measurable quality outcomes aligned with Vertivs 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 usecase intake through production release.
• Translate inspection objectives failure modes and process constraints into validated vision system configurations (lighting optics camera placement triggers).
• Execute factorylevel commissioning including MSA validation falseaccept / falsereject 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
  • Unitlevel 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).

CrossFunctional Execution

• Partner with Quality Manufacturing Engineering Operations and IT to prioritize and deploy vision use cases.
• Support plant teams during rampup 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 liketype processes and factories.
• Provide technical input into RFPs technology evaluations and roadmap decisions for vision platforms.

Required Qualifications

• Bachelors 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 (PLCtriggered inspections station integration)
  • Manufacturing quality systems and errorproofing concepts
• Experience commissioning systems on the shop floor (not just developing algorithms).

Preferred Qualifications

• Experience with AI/MLbased 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 falsecall rates.
• Systems are deployed on time productionready and adopted by operators.
• Inspection results are reliably linked to unit birth history and accessible for quality analysis.
• Solutions are reusable across factories not oneoff custom builds.
• Measurable reduction in escapes rework or manual inspection dependency.

Travel Requirements

30%