Reliability Engineer Intern — AI & Data-Driven Testing

Lockheed Martin; Orlando (FL); On-site; USD 32,000 - 54,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Flexible work arrangements

4x10 schedules

Job summary

Lockheed Martin in Orlando, FL is seeking a Reliability Engineering Intern to support the Reliability & Test Engineering team from concept to field. You will apply statistical and AI-driven techniques to predict product performance, assist with FMECAs, and help execute life testing and RCM programs.

You will work with senior engineers to turn reliability data into actionable improvements that keep systems safe, dependable, and on schedule, while gaining a full cycle view of reliability-driven

Qualifications

• Master’s degree in reliability engineering or related field.
• Ability to obtain Secret clearance.
• Strong written and oral communication skills.

Responsibilities

• Assist in Failure Mode, Effects, and Criticality Analyses (FMECA).
• Run reliability growth models (Weibull, exponential) and compare with observed data.
• Explore predictive maintenance models using AI techniques and analyze FRACAS data.
• Support accelerated life testing setup, data capture, and sample-size calculations.
• Contribute to maintenance strategies based on failure modes and criticality.
• Fetch data from test databases, create plots and brief reliability status reports.
• Update reliability docs and log actions in SharePoint; collaborate with engineers and customers.

Skills

Interpersonal skills

Oral and written communication

Statistical analysis

AI techniques

Reliability engineering

Problem solving

Education

Master's degree in reliability engineering

Tools

FRACAS

Data mining

Job description

Lockheed Martin in Orlando, FL is seeking a Reliability Engineering Intern to support the Reliability & Test Engineering team from concept to field. You will apply statistical and AI-driven techniques to predict product performance, assist with FMECAs, and help execute life testing and RCM programs.

You will work with senior engineers to turn reliability data into actionable improvements that keep systems safe, dependable, and on schedule, while gaining a full cycle view of reliability-driven