Engineering Intern

Peatech Services LLC; Richmond Heights (OH); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Mentorship from researchers

Job summary

Peatech Services LLC is offering an Engineering Intern position to support advanced additive manufacturing modeling teams in the US. You will work with physics solvers and the PeaSyn digital twin suite, focusing on WAAM modeling and simulation.

Eligible students pursuing BS/MS/PhD in engineering or CS will gain hands-on experience, mentorship from senior researchers, and exposure to industrial digital twin platforms, with flexible scheduling around academics.

Qualifications

• Pursuing BS/MS/PhD in relevant engineering or CS field.
• Strong foundation in heat transfer and numerical methods (FEM/CFD).
• Basic scripting in Python, MATLAB, or C++.
• Paid internship with flexible hours.
• Mentorship from advanced manufacturing researchers and senior software engineers.
• Hands-on experience with industrial digital twin software platforms.

Responsibilities

• Develop and refine physics-based models for WAAM.
• Run simulations on peak thermal gradients and melt pool dynamics.
• Assist with database integration, sync processes, and data translation.

Skills

Python

MATLAB

C++

Heat transfer

FEM/CFD

Education

BS/MS/PhD in Mechanical Eng / Materials Science / Aerospace Eng / CS

Tools

Digital twin software

Job description

We are looking for a motivated Engineering Intern to support our advanced additive manufacturing modeling teams. You will work directly with our physics solvers and telemetry sync processes on the PeaSyn digital twin suite.

Key Responsibilities

• Assist in developing and refining physics-based models for wire-arc additive manufacturing (WAAM).
• Conduct computational simulations analyzing peak transient thermal gradients and melt pool dynamics.
• Support database integration, sync processes, and data translation workflows.
• Analyze experimental print datasets to validate simulation accuracy.

Requirements & Qualifications

• Currently pursuing a BS, MS, or PhD in Mechanical Engineering, Materials Science, Aerospace Engineering, or Computer Science.
• Strong foundation in heat transfer, numerical methods (FEM/CFD), or physical metallurgy.
• Basic scripting skills in Python, MATLAB, or C++.
• Eagerness to learn, iterate, and collaborate in a high-speed R&D environment.
• Paid internship with flexible hours designed around your academic schedule.
• Direct mentorship from advanced manufacturing researchers and senior software engineers.
• Hands-on experience with industrial digital twin software platforms.
• Potential transition to full-time staff engineering positions upon graduation.

Interested in this opportunity?