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Freeform

Process Engineer (New Grad December 2026)

Los Angeles, CA (On-site)entryAdded 6 days ago

About this role

Join Freeform as a Process Engineer to develop innovative metal 3D printing processes by analyzing complex data sets and collaborating with interdisciplinary teams. You'll support process optimization and material characterization for advanced additive manufacturing systems, working alongside senior engineers to understand multi-physics phenomena and drive rapid iteration improvements.

What you'll do

  • Analyze large in situ data sets to understand physical mechanisms and develop deep process knowledge
  • Execute experiments, analyze results, and help optimize metal additive manufacturing processes
  • Perform post-build metrology and material property analysis including tensile strength and microstructure
  • Track and generate quality metrics for printed parts such as dimensional accuracy and surface roughness
  • Develop and implement tool qualification procedures
  • Collaborate with mechanical, software, and simulations engineers on data analysis and process improvement

What they're looking for

  • Physics fundamentals and first-principles thinking
  • Experimental design and statistical data analysis
  • Python and/or MATLAB programming
  • Large data set interpretation and analysis
  • Materials characterization and metrology
  • Technical documentation and communication
  • Problem-solving and collaborative mindset
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Freeform

Freeform builds autonomous metal 3D printing factories powered by AI-native manufacturing systems, creating integrated platforms that handle production-scale operations with advanced controls and physics-based optimization. The company is hiring embedded software engineers, full-stack software engineers, simulation engineers, and process engineers to develop the core software, hardware systems, and manufacturing processes enabling automated metal additive manufacturing at scale.

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Likely interview questions

  • Walk us through how you would approach analyzing a large, unfamiliar data set from a manufacturing process to identify key physical insights.
  • Describe a research project or coursework where you designed and executed an experiment—what did you learn about the experimental process?
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