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Internship Predictive Maintenance Jobs in Texas (NOW HIRING)

X-Bow Systems

Maintenance and Reliability Lead

Luling, TX · On-site

$83K - $105K/yr

Reliability & Predictive Tools: Implement predictive tools (vibration analysis, cycle monitoring ... Experience: 2+ year of hands-on experience in a manufacturing environment (applicable internships ...

NXP Semiconductors N.V.

IT BUSINESS/SYSTEMS

Austin, TX · On-site

$105K/yr

Build and/or maintain enterprise data reporting and analytics platform providing daily, weekly ... Position requires experience gained via completion of a graduate-level course, internship, or ...

NXP Semiconductors

IT BUSINESS/SYSTEMS

Austin, TX · On-site

$105K/yr

Build and/or maintain enterprise data reporting and analytics platform providing daily, weekly ... Position requires experience gained via completion of a graduate-level course, internship, or ...

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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 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.

What are the key skills and qualifications needed to thrive as an internship in predictive maintenance?

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 are the most commonly searched types of Predictive Maintenance jobs in Texas?

The most popular types of Predictive Maintenance jobs in Texas are:

What are popular job titles related to Internship Predictive Maintenance jobs in Texas?

For Internship Predictive Maintenance jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Internship Predictive Maintenance jobs in Texas are:

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Cities in Texas with the most Internship Predictive Maintenance job openings:

Internship Predictive Maintenance jobs near you

Sr. Mechanical Engineer, Insource Manufacturing (Starlink)

SpaceX

Bastrop, TX • On-site

Other

Re-posted 2 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SR. MECHANICAL ENGINEER, INSOURCE MANUFACTURING (STARLINK)
The Insource Manufacturing team is responsible for designing, building, and qualifying custom equipment and automation systems to enable high-volume production of Starlink products. As a Mechanical Engineer in this group, you will take end-to-end ownership of critical manufacturing equipment and material handling systems. This role requires a detail-oriented engineer who is passionate about designing robust mechanical and automation systems, optimizing existing equipment, and developing novel solutions that push the boundaries of high-volume manufacturing while minimizing risk and maximizing efficiency in our state-of-the-art Starlink factory.
RESPONSIBILITIES:
  • Own manufacturing subsystems and equipment from conceptual design through fabrication, commissioning, and high-volume production ramp
  • Develop design criteria, collaborate on requirements with cross-functional teams, and drive system-level optimization
  • Perform failure modes and effects analysis (FMEA), reliability modeling, and stress testing to predict and mitigate potential failures and improve overall equipment effectiveness (OEE)
  • Design and develop production equipment including structures, mechanisms, robot end effectors, automation systems, and material handling solutions
  • Uptime Optimization: Monitor and track equipment performance metrics using data analytics; identify bottlenecks and downtime causes, then implement preventive and predictive maintenance strategies to maximize operational availability
  • Evaluate and select equipment suppliers and vendors based on reliability, performance, and business needs; oversee installation, commissioning, and ongoing performance of both internally designed and vendor-supplied equipment
  • Demonstrate extreme ownership of projects through their entire lifecycle while balancing multiple initiatives in a fast-paced environment
  • Collaborate closely with design, manufacturing, and test teams to develop products and production processes in parallel
  • Solve complex, open-ended problems with an emphasis on speed of execution, efficiency, and scalability

BASIC QUALIFICATIONS:
  • Bachelor's degree in mechanical, manufacturing, materials, or other engineering discipline
  • 5+ years of professional experience with mechanical design, analysis, testing, or manufacturing (internship experience is applicable)
  • 3+ years of experience with CAD and FEA software packages

PREFERRED SKILLS AND EXPERIENCE:
  • Master's degree or PhD in an engineering discipline
  • 3+ years of experience in a leadership position in a manufacturing environment
  • Experience with custom machine design including electromechanical systems, end-of-arm tooling, motors, actuators, linear rails, bearings, and lifting/rigging
  • Proficient in 3D CAD (Siemens NX preferred) and Teamcenter
  • Solid understanding and application of GD&T, mechanical engineering fundamentals, structural analysis, and failure modes of complex mechanical systems
  • Prior ownership of a complex component or assembly from initial design through production ramp
  • Experience applying common manufacturing processes (welding, machining, assembly, inspection) and designing for manufacturability
  • Hands-on experience with mills, lathes, manual and CNC machines
  • Experience with FEA, structural hand calculations, and sizing of mechanical components
  • Self-motivated with strong organizational, written, and oral communication skills

ADDITIONAL REQUIREMENTS:
  • Willingness to travel to other SpaceX sites and/or vendors for significant/extended periods of time (~25% travel normally, more during urgent manufacturing and test campaigns)
  • Ability to lift up to 25Ibs unassisted
  • Standing/walking for long periods of time
  • Ability to work long hours and weekends as necessary to support critical milestones

ITAR REQUIREMENTS:
    Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to

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Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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