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Internship Python Mechanical Engineering Jobs in Denton, TX

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Thermal Engineer (R&D)

Carrollton, TX · On-site

Bachelor's degree in Mechanical Engineering, Thermal Engineering, or a related discipline. * 3-5 ... Python, MATLAB, or similar tools for data analysis * Internship, co-op, or early-career experience ...

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Internship Python Mechanical Engineering information

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How much do internship python mechanical engineering jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship python mechanical engineering in Denton, TX is $20.52, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.74 per hour, depending on experience, location, and employer.

What is an internship Python mechanical engineering?

Internship Python Mechanical Engineering positions are temporary roles for students or recent graduates in mechanical engineering, where they gain practical experience by applying Python programming to engineering problems. These internships typically involve tasks such as data analysis, automation, simulation, and modeling using Python. Interns work under the supervision of experienced engineers and may contribute to ongoing projects, helping them develop both technical and professional skills. These positions are valuable for building resumes and exploring career paths in industries that combine mechanical engineering with programming.

What types of projects do interns typically work on during a Python mechanical engineering internship?

During a Python Mechanical Engineering internship, interns are often assigned to projects that integrate programming skills with mechanical engineering concepts. Typical tasks may include automating data analysis from experiments, developing scripts to optimize simulation processes, or creating tools for design validation. Interns usually collaborate closely with engineers and data analysts, gaining exposure to real-world engineering problems and the opportunity to contribute meaningfully to ongoing projects. This hands-on experience helps interns build both technical and teamwork skills that are valuable for a future career in the field.

What are the key skills and qualifications needed to thrive as an internship Python mechanical engineering?

To thrive in an Internship Python Mechanical Engineering role, you typically need a foundation in mechanical engineering principles, a working knowledge of Python programming, and current enrollment in or recent graduation from an engineering program. Familiarity with CAD software, simulation tools like ANSYS or SolidWorks, and data analysis libraries in Python (such as NumPy and Matplotlib) is often required. Strong problem-solving abilities, effective communication, and teamwork skills help you stand out in collaborative and project-driven environments. These competencies ensure you can contribute to technical projects, analyze engineering data, and support innovation within multidisciplinary teams.

What is the difference between Internship Python Mechanical Engineering vs Mechanical Engineering Intern?

AspectInternship Python Mechanical EngineeringMechanical Engineering Intern
Required CredentialsBasic programming skills, knowledge of Python, relevant courseworkMechanical engineering coursework, basic technical skills
Work EnvironmentSoftware development, data analysis, simulation projectsDesign labs, manufacturing settings, testing environments
Industry UsageTech companies, engineering firms with software componentsManufacturing, automotive, aerospace industries
Common Search/ComparisonFocus on programming and software skills in mechanical projectsFocus on traditional mechanical engineering tasks

The Internship Python Mechanical Engineering typically emphasizes programming skills in Python applied to mechanical projects, often within software or tech-driven environments. In contrast, a Mechanical Engineering Intern focuses on traditional mechanical design, testing, and manufacturing tasks. Both roles are valuable in engineering fields but differ in skill requirements and work settings.

Which internship is best for mechanical engineering students?

The best internship for mechanical engineering students typically involves roles in manufacturing, design, or research that provide hands-on experience with CAD software, prototyping, and engineering principles. Internships at manufacturing firms, automotive companies, or aerospace organizations are highly valuable for gaining practical skills and industry insight.

What are popular job titles related to Internship Python Mechanical Engineering jobs in Denton, TX?

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What job categories do people searching Internship Python Mechanical Engineering jobs in Denton, TX look for?

The top searched job categories for Internship Python Mechanical Engineering jobs in Denton, TX are:

What cities near Denton, TX are hiring for Internship Python Mechanical Engineering jobs?

Cities near Denton, TX with the most Internship Python Mechanical Engineering job openings:

Internship Python Mechanical Engineering jobs near you

Staff Engineer, Mechanical Test (R4888)

Shield AI

Dallas, TX • On-site

$130K - $200K/yr

Full-time

Re-posted 17 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

Do you enjoy working in a dynamic lab environment and being part of a design team that will impact the safety of service members and civilians? If so, we want your help designing the next generation aircraft at Shield AI. The Mechanical Test team's mission is to inform Shield AI hardware design by quantifying product performance and experience with custom measurement tools, and specialized analysis.

We are seeking a highly skilled and detail-oriented Staff Mechanical Test Engineer to support the development, testing, and validation of advanced mechanical systems. The ideal candidate will have strong hands-on experience with hydraulic systems, various sensor technologies (e.g., force, pressure, strain, displacement), be proficient in python for test automation and data analysis, and demonstrate expert level proficiency in CAD tools such as NX.

What you'll do:
  • Develop and execute test plans to validate mechanical performance, structural integrity, and environmental durability from start to finish.
  • Design, build, and operate test fixtures and systems involving hydraulic actuation, mechanical linkages, and sensor instrumentation.
  • Integrate and calibrate a range of sensors (e.g., load cells, pressure transducers, strain gauges, accelerometers) into test setups for accurate data collection.
  • Create and maintain python scripts to provide automation, signal processing, and result visualization.
  • Analyze test data, troubleshoot system behaviors, and generate detailed technical reports with design feedback.
  • Collaborate with cross-functional teams including mechanical design, systems, and electrical engineering to define test requirements, run test campaigns and deliver high quality results.
  • Lead CAD design of custom test equipment, prototypes, fixtures, and components, ensuring manufacturability and safety.
  • Perform Finite Element Analysis to simulate mechanical performance, validate design assumptions, and correlate analytical results with test data.
  • Work with metallic/composite materials in the design, fabrication, and testing of mechanical components, with consideration for their unique properties such as anisotropy, delamination risk, and layup configuration.
  • Support lab safety protocols, equipment maintenance, and continuous improvement of test capabilities.
Required qualifications:
  • Bachelor's or Master's degree in Mechanical Engineering or related field.
  • 7-9 years of experience in mechanical testing or product development environments.
  • Strong working knowledge of hydraulic systems and their control/measurement.
  • Experience with sensor selection, integration, and calibration in test environments.
  • Proficiency in Python for scripting, test automation, and data analysis.
  • Advanced CAD skills in Siemens NX with experience designing test hardware and prototypes.
  • Excellent problem-solving skills and the ability to work independently and in team settings.
Preferred qualifications:
  • Hands-on experience performing MIL-STD testing (e.g., MIL-STD-810, MIL-STD-461) including vibration, shock, thermal, and EMI/EMC testing.
  • Subject Matter Expert in aerospace structures and dynamics test environments.
$130,000 - $200,000 a year
#LI-MS1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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