The board
- Where
- Los Angeles, CA (On-site)
- Posted
- Aug 7
PROCESS ENGINEER (NEW GRAD DECEMBER 2026)
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 Engineer at Freeform, you will have the unique opportunity to help invent novel processes for the world's most advanced metal 3D printing systems. You will work alongside senior engineers to deep dive into complex, multi physics phenomena, gaining a fundamental understanding of the system and using those learnings to support the creation of new state of the art processes.
What you'd do
- Support the Process Engineering team in 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
- Assist in the execution of experiments, analyze data, and help develop and optimize processes on a metal additive system
- Perform post build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure
- Generate and track quality metrics of printed customer parts such as dimensional accuracy, defect distribution, and surface roughness
- Assist in the development and implementation of tool qualification procedures
- Collaborate with mechanical, software, and simulations engineers to analyze data and support rapid improvement of printing processes
What they want
- Bachelor's degree in materials science, physics, mechanical engineering, or a similar engineering discipline from an ABET accredited university or college
- First principles thinker with strong fundamentals in physics
- Coursework or research experience with experimental design and statistical data analysis
- Strong data analysis skills and ability to interpret important information from large data sets
- Experience with Python and/or MATLAB