Process Engineering Internship Co-Op (Summer Fall 2026)

PROCESS ENGINEERING INTERNSHIP/CO-OP (SUMMER/FALL 2026)&nbsp; Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. As a Process Engineering Intern at Freeform, you will help develop and refine novel processes for some of the world’s most advanced metal 3D printing systems. You will work closely with experienced engineers to study complex, multi-physics behavior within the printing process, building a foundational understanding of the system and applying those insights to support the development of next-generation processes. You’ll collaborate with mechanical, software, and simulation engineers to analyze large in-situ data sets and post-print material characteristics, contributing to rapid iteration and continuous improvement of the printing technology using data-driven and machine-learning-enabled approaches. 3D printing experience is not required to be successful here - we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! &nbsp; Responsibilities: &nbsp; Assist the Process Engineering team in&nbsp;developing a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process Execute experiments and analyze data to improve metal additive processes Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure Assist in the&nbsp;development and implementation of tool qualification procedures &nbsp; Basic Qualifications: &nbsp; Currently pursuing Bachelor's degree in material science, physics, or similar engineering discipline Experience with experimental design and statistical data analysis Strong data analysis skills and ability to interpret important information from extremely large data sets</li&gt