OEE & Asset Intelligence Engineer

Intralox

Baltimore (MD)

On-site

USD 90,000 - 150,000

Full time

9 days ago
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Benefits offered by this job

Health, dental, vision insurance
Paid time off
401K plan

Job summary

Intralox seeks an Asset Performance & Operational Intelligence Engineer to transform conveyor system data into actionable insights that improve customer OEE and reduce downtime. You will bridge data from installed equipment with field operations to drive data-driven maintenance strategies.

Responsibilities include analyzing time-series signals, correlating failure modes, and delivering concise insight summaries to engineering teams and leadership, supporting condition-based maintenance and

Qualifications

  • Bachelor's degree in Mechanical or Electrical Engineering or related field.
  • 5+ years in industrial analytics, manufacturing performance, or reliability/asset performance engineering.
  • Strong knowledge of conveyor systems, OEE, MTBF and downtime analysis.
  • Willingness to travel up to 50%.

Responsibilities

  • Own interpretation and breakdown of OEE metrics for installed conveyor systems.
  • Analyze Availability, Performance, and Quality losses at system, subsystem, and zone levels.
  • Identify and prioritize chronic vs acute performance loss drivers.
  • Validate that measured OEE reflects true operational behavior and customer reality.
  • Correlate time-series data (motor current, temperature, vibration, speed/load, faults).
  • Develop repeatable pattern recognition for common failure modes across installed base.
  • Provide data-driven input for inspection priorities, component replacement, and spares strategy.
  • Partner with field service and maintenance teams to validate interventions and outcomes.

Skills

SQL
Time-series analysis
Python
R

Education

Bachelor's degree in Mechanical/Electrical Engineering or related field

Tools

Power BI
Tableau
Grafana

Job description

Intralox seeks an Asset Performance & Operational Intelligence Engineer to transform conveyor system data into actionable insights that improve customer OEE and reduce downtime. You will bridge data from installed equipment with field operations to drive data-driven maintenance strategies.

Responsibilities include analyzing time-series signals, correlating failure modes, and delivering concise insight summaries to engineering teams and leadership, supporting condition-based maintenance and

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