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Internship Predictive Maintenance Jobs (NOW HIRING)

Marmon

Facilities/Maintenance Intern

East Granby, CT

$16.75 - $21.75/hr

Our Summer Internship Experience: Marmon Industrial Energy & Infrastructure hiring talented and ... predictive maintenance and root cause analysis determinations on all equipment and building ...

Nucor

Melt Shop Mechanic

Memphis, TN

Support preventive and predictive maintenance activities to improve equipment reliability ... internship * Ability to regularly lift up to 50 lbs. * Willingness to work rotating shifts ...

Nucor

Melt Shop Mechanic

Memphis, TN · On-site

Support preventive and predictive maintenance activities to improve equipment reliability ... internship * Ability to regularly lift up to 50 lbs. * Willingness to work rotating shifts ...

Arbor Homes

Construction Internship

Indianapolis, IN · On-site

$14.25 - $19/hr

Maintain constant job site readiness daily for the contractor base such as keeping houses, garages ... Predictive Index Training * End of Internship Presentation Business Unit - Arbor Homes

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Internship Predictive Maintenance information

What is an Internship in Predictive Maintenance?

An Internship in Predictive Maintenance is a temporary position designed for students or recent graduates to gain practical experience in using data analysis, machine learning, and sensor technologies to predict equipment failures and optimize maintenance schedules in industrial settings. Interns typically assist in collecting and analyzing machine data, building predictive models, and implementing monitoring systems. This hands-on experience helps them develop technical skills relevant to the maintenance and reliability engineering fields, preparing them for future roles in industrial automation, data science, or engineering.

What are the key skills and qualifications needed to thrive as an Internship Predictive Maintenance, and why are they important?

To thrive in a Predictive Maintenance Internship, you need a background in engineering or data science, understanding of maintenance principles, and analytical problem-solving skills. Familiarity with predictive analytics tools, condition monitoring systems, and programming languages like Python or MATLAB is typically required. Strong communication, teamwork, and adaptability help interns collaborate effectively and learn quickly in dynamic industrial environments. These skills enable accurate equipment diagnostics, effective data-driven maintenance, and contribute to operational efficiency.

What is the difference between Internship Predictive Maintenance vs Predictive Maintenance Technician?

AspectInternship Predictive MaintenancePredictive Maintenance Technician
CredentialsEnrolled in or recent graduate of relevant technical or engineering programTechnical diploma or associate degree, certifications preferred
Work EnvironmentTraining setting, supervised tasks, entry-levelOn-site maintenance, hands-on equipment diagnostics
Industry UsageInternship programs in manufacturing, energy, or industrial sectorsIndustrial plants, manufacturing facilities, equipment maintenance

Internship Predictive Maintenance roles are entry-level positions designed for students or recent graduates gaining experience in predictive maintenance techniques. Predictive Maintenance Technicians are experienced professionals responsible for diagnosing and repairing equipment using predictive tools. While internships focus on learning and training, technicians perform hands-on maintenance tasks to prevent equipment failures.

What types of projects and daily tasks can I expect during an internship in predictive maintenance?

As an intern in predictive maintenance, you can expect to work closely with engineering and data analytics teams to collect, clean, and analyze equipment data. Your daily tasks may include monitoring sensor outputs, developing or refining predictive models, and supporting the implementation of machine learning algorithms to forecast equipment failures. You might also participate in cross-functional meetings to discuss findings and recommend maintenance strategies. This hands-on experience will give you exposure to both data science techniques and practical engineering solutions, helping you build valuable skills for a career in industrial analytics.
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Internship Predictive Maintenance jobs near you
Infographic showing various Internship Predictive Maintenance job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 62% Full Time, 2% Part Time, 1% Temporary, 31% Contract, and 1% Summer. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Sr. Equipment Reliability Engineer, Solar Cells (Starlink)

Sr. Equipment Reliability Engineer, Solar Cells (Starlink)

SpaceX

Bastrop, TX • On-site

Other

Posted 22 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies

Job description

SR. EQUIPMENT RELIABILITY ENGINEER, SOLAR CELLS (STARLINK)

At SpaceX we are building the next generation of space infrastructure to enable large-scale AI data centers in orbit. These orbital AI platforms require massive amounts of reliable, high-efficiency solar power to support intensive computing workloads in space. To make this possible, we are standing up one of the largest solar cell manufacturing facilities in the world. We are seeking a best-in-class Equipment Reliability Engineer to drive asset reliability and uptime for advanced production equipment including vacuum deposition, chemical processing, metallization, and other automation systems. This high-impact role will help shape maintenance strategies from the ground up while enabling SpaceX's ambitious vision for AI data centers in space.  

The primary role of the Equipment Reliability Engineer is to identify and manage asset reliability risks that could adversely affect factory or business operations. As production ramps and increases rate, the Equipment Reliability Engineer's primary goal is to achieve maximum asset and system uptime (>95% on critical lines) by implementing and executing plans to minimize production losses, unpredictable asset behavior, and high costs for system maintainability. The Equipment Reliability Engineer acts as the accountable engineering resource in driving the design, build, and installation stages of new and modified assets, while providing technical support to production and other teams to prevent and mitigate operational issues on critical solar cell manufacturing equipment. 

RESPONSIBILITIES: 

  • Work with process, automation, materials, and other engineering teams to ensure reliability of new installations including thin-film deposition (PECVD, sputtering), chemical processing, vacuum systems, and robotics 
  • Guide consistency and maintainability of critical equipment, processes, utilities, controls, safety systems, and cleanroom protocols 
  • Own improvement plans, root cause analysis (RCA), and corrective actions for preventative/predictive maintenance, OEE, and downtime minimization 
  • Define, monitor, and refine maintenance plans with predictive tools (vibration, cycle monitoring), RCM, and non-destructive testing 
  • Prepare documentation for mechanical design, controls, software, schematics, and OEM manuals 
  • Develop solutions to repetitive failures affecting capacity, quality, cost, compliance, or cleanroom standards 
  • Analyze assets (utilization, OEE, useful life, costs) to support factory scaling 
  • Lead troubleshooting of mechanical, electrical, fluid, pneumatic, and robotic failures; provide hands-on support when needed 
  • Manage requests for improvements, spares optimization (min/max, criticality), and CMMS  
  • Drive continuous improvement using lean principles, Six Sigma, and technician feedback 

BASIC QUALIFICATIONS: 

  • Bachelor's degree in mechanical, electrical, aerospace, systems, manufacturing engineering, or STEM discipline 
  • 5+ years of experience in an engineering role in manufacturing, integration, reliability, maintenance, technical program management, and/or operations

PREFERRED SKILLS AND EXPERIENCE: 

  • Advanced degrees in engineering with reliability analysis experience through research and/or internships 
  • 7+ years in maintenance/reliability in high-volume manufacturing, ideally semiconductor/solar/automation 
  • Experience with control systems, automation, deposition tools (PECVD, sputtering), vacuum/chemical/mechanical/electrical/pneumatic components 
  • Reading schematics, manuals, GD&T, P&IDs; RCA and leading troubleshooting 
  • Proficiency in CMMS (Maximo, SAP, etc.), MRP/ERP, statistical tools, data analytics 
  • Familiarity with lean, TPM, Six Sigma, RCM, predictive maintenance 
  • Track record scaling programs in high-growth renewable/aerospace environments 
  • Familiarity with cleanroom protocols, pyrophoric/toxic gases, hazardous chemical handling; CRE/CMRP; critical thinking/urgency 

ADDITIONAL REQUIREMENTS: 

  • Ability to travel internationally (20%) 
  • Ability to stand up to 6 hours, lift up to 25 pounds unassisted, and maneuver around equipment in a factory setting 
  • Ability to work in industrial environments with fumes/odors, noise, hazardous chemicals, and confined spaces 
  • Must be available to work extended hours and weekends as needed 

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