Technical Services Engineering Intern

Hackensack Meridian Health; Houston (TX); On-site; USD 28,000 - 44,000; Full time

Job summary

Hackensack Meridian Health is offering a 12-week Engineering Technical Services internship in Houston, TX. You will contribute to finite element analysis using Ansys, apply data analysis to improve engineering processes, and explore AI-enabled tools to streamline workflows.

The role emphasizes collaboration, mentorship, and hands-on learning in a global energy context. Ideal candidates are enrolled in Mechanical or Computational Engineering programs with a GPA of 3.0 or higher, capable of

Qualifications

• Currently enrolled and working toward completion of a Bachelor’s or Graduate degree in Mechanical Engineering, Computational Engineering, or related engineering majors.
• Minimum GPA of 3.0.
• Good interpersonal skills to drive collaboration across multiple functions.
• Ability to work independently or within a larger team as required by the project and task.
• Familiarity with Microsoft Office products (Outlook, Teams, Word, Excel, PowerPoint).
• Excellent analytical and problem-solving skills.
• Strong verbal and written communication.
• Preferred: experience with Ansys or other FEA software.
• Preferred: experience with data analysis or visualization tools (Excel, Power BI, Python, MATLAB).

Responsibilities

• Support FEA activities using Ansys, including model setup, meshing, and boundary conditions.
• Assist with material property assignments, solver execution, and evaluation of analysis results under supervision.
• Analyze engineering and operational data to identify trends, bottlenecks, quality issues, and opportunities for process improvement.
• Evaluate and apply AI-enabled tools to automate repetitive tasks and support engineering workflows.
• Learn about FEA principles and practical application using Ansys and translating data into actionable improvements.

Skills

Interpersonal skills

Team collaboration

Analytical thinking

Problem solving

Communication (verbal & written)

Attention to detail

Microsoft Office proficiency

Independent work capability

Data visualization tools

Python or MATLAB basics

Education

Bachelor’s or graduate degree in Mechanical/Computational Engineering or related field

Tools

Ansys

Power BI

Python

MATLAB

Job description

About us

HMH is a leading provider of drilling solutions, offering a wide range of products and services that are designed to be the safest and most efficient in the industry. Apart from our expertise in land and offshore operations, we are continuously expanding our knowledge within subsea mining, geothermal, onshore and offshore construction, as well as offshore wind industries. With offices in 16 countries across five continents, HMH maintains a strong global presence. HMH is a frontrunner in developing and providing automation and digital solutions for our drilling customers to support their endeavor to improve efficiency and environmental footprint. Equipped with its brilliant team of engineers, HMH is committed to actively exploring opportunities in other industries. For us, this means new opportunities and challenges that we need creativity and great minds to solve in our efforts to innovate our future.

Do you want to join our team?

At HMH we value our employees. We offer exciting job opportunities that will give you the opportunity to grow in your role and give you the professional development you deserve. In addition to competitive pay and benefits, you will join a casual and inclusive work environment. Our environment is based on respect and having a good day at work, so you can expect to join a knowledgeable, global team who help each other to succeed.

This position will support the Engineering Technical Services team by contributing to finite element analysis (FEA) using Ansys, applying data analysis to drive business process improvement, and exploring AI-enabled tools to enhance engineering workflows.

The Intern will be responsible for:

• Support FEA activities using Ansys, including model setup, meshing, and definition of boundary conditions.
• Assist with material property assignments, solver execution, and evaluation of analysis results under the guidance of an engineer.
• Analyze engineering and operational data to identify trends, bottlenecks, quality issues, and opportunities for business process improvement.
• Evaluate and apply AI-enabled tools, with appropriate human review, to automate repetitive tasks, organize engineering knowledge, or support technical calculations.
• Other duties as assigned.

The Intern also will learn about the following:

• FEA principles and practical application using Ansys.
• Techniques for translating engineering and operational data into actionable process improvements.
• Responsible application of AI-enabled tools to support engineering workflows.

Skills/Requirements

• Currently enrolled and working toward completion of a Bachelor’s or Graduate degree from an accredited university or college, with Mechanical Engineering, Computational Engineering, or related engineering majors preferred.
• Minimum GPA of 3.0.
• Good interpersonal skills to drive collaboration across multiple functions to achieve desired results.
• Ability to work independently or within a larger team as required by the project and task.
• Familiarity with Microsoft office products, i.e., Outlook, Teams, Word, Excel, PowerPoint.
• Excellent analytical and problem-solving skills.
• Strong verbal and written communication.
• Strong work ethic and attention to detail.
• Preferred: prior coursework, research, or project experience using Ansys or other FEA software.
• Preferred: experience with data analysis or visualization tools (e.g., Excel, Power BI, Python, or MATLAB) and interest in applying AI-enabled tools to engineering problems.

Additional Information

• Must be legally authorized to work in the United States on a full-time basis, now or in the future, without employer sponsorship for employment visa status.
• No relocation assistance provided.
• Internship is 12 weeks, May 24 - August 13, 2027

Location

Houston, TX

This position is not open to visa sponsorship