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Hadrian

Process Development Engineer, Additive Manufacturing

Los Angeles, CA$135k–$200kfulltimemidAdded today

About this role

Hadrian seeks a Process Development Engineer to lead additive manufacturing process optimization and automation for aerospace and defense applications. You'll own parameter development, in-process monitoring, and software tool creation to scale metal additive capabilities beyond traditional constraints.

What you'll do

  • Lead process and parameter development for metal additive manufacturing, executing DOEs to define process windows
  • Drive adoption of in situ monitoring, statistical process control, and digital traceability systems
  • Build or evaluate software tools to accelerate parameter development and process automation
  • Design automated workflows to validate and implement new processes efficiently
  • Serve as technical resource for part-specific parameter needs and platform challenges
  • Collaborate with materials, applications, systems, and software engineering teams on process rollout

What they're looking for

  • Additive manufacturing process development (metals focus)
  • Design of experiments (DOE) and statistical analysis
  • LPBF and/or DED process expertise
  • Build processor and process simulation software
  • Python or scripting for workflow automation
  • In situ process monitoring and data interpretation
  • Materials engineering collaboration
  • ITAR compliance and aerospace/defense standards
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Hadrian

Hadrian builds aerospace and defense manufacturing systems, offering enterprise software platforms, advanced tooling design, and highly automated production capabilities for the sector. The company is hiring full stack engineers, manufacturing and tooling specialists, infrastructure and identity management experts, and workforce systems architects to support its rapid scaling.

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Likely interview questions

  • Walk us through a time you optimized metal additive parameters—what DOE methodology did you use and what was the outcome?
  • Describe your experience with LPBF versus DED processes and why you'd focus on one over the other.
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