Process Engineering Intern (Summer 2027) (AI)

Location: Los Angeles, California, with full-time onsite presence five days a week in Hawthorne. Very limited exceptions to onsite work are available. Relocation assistance is provided.

Salary: $30/hour for undergraduate engineering interns, $32.50/hour for master's interns, and $35/hour for PhD interns.

Company

hirify.global develops AI-native manufacturing systems that integrate software, hardware, and physics to produce industrial-scale parts, including advanced metal 3D-printed components.

What you will do

• Analyze large in-situ data sets to understand physical mechanisms in metal additive manufacturing processes and hardware operation.
• Execute experiments and analyze results to improve metal additive processes.
• Perform post-build metrology and analyze tensile strength, surface roughness, alloy microstructure, and other material properties.
• Support the development and implementation of tool qualification procedures.
• Collaborate with mechanical, software, and simulation engineers on rapid, data-driven, and machine-learning-enabled process improvement.

Requirements

• Currently pursuing a bachelor's degree in materials science, physics, or a similar engineering discipline.
• Experience with experimental design and statistical data analysis.
• Strong data analysis skills and ability to interpret extremely large data sets.
• Experience with Python and/or MATLAB.
• Ability to work hands-on, solve difficult problems, communicate effectively, and collaborate across disciplines.

Nice to have

• Undergraduate research experience in materials science, physics, or mechanical engineering.
• Process development experience in semiconductors, solar, displays, or other cutting-edge industries.
• Experience with R, JMP, or Minitab.
• Passion for advancing metal 3D printing.
• Evidence of academic excellence, leadership, resilience, or achievement against adversity.

Culture & Benefits

• Inclusive and diverse culture focused on collaboration, learning, and deliberate data-driven decisions.
• Opportunity to contribute to a rapidly growing company scaling advanced manufacturing technology.
• Free catered lunch and dinner each day and a fully stocked kitchenette.
• Casual dress, flexible work hours, and regular catered team-building events.