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Robotic Process Engineer, Intern

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About Machina Labs
Engineering moves at software speed. Manufacturing doesn't. Yet.
Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years.
Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on.
If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place.

The Role

As a Robotics Process Engineer Intern at Machina Labs, you will help enable RoboForming, our robotic incremental sheet metal forming process, by supporting CAD manipulation, robot tool path generation, process optimization, and data analysis. You will work with cutting-edge systems and internal tools to convert digital designs into robotic action, analyze forming and scan data, and help iterate on process strategies using real-world engineering feedback. This role is hands-on, highly collaborative, and ideal for individuals interested in digital tooling, advanced robotics, and manufacturing automation. This role will report into our Federal Aerospace & Defense Vertical.

What You'll Do

  • Assist in generating and modifying CAD models for compatibility with RoboForming processes.
  • Support the conversion of CAD designs into robot tool paths using our internal software stack.
  • Analyze process data and 3D scan results to assess part quality, suggest improvements, and document findings.
  • Design and execute experiments (DOE) aimed at optimizing forming techniques and tool path strategies.
  • Work closely with product managers, engineers, and team members to improve process workflows, and participate in technical discussions to support project goals.
  • Operate autonomously, make informed decisions, and refine approaches based on real-world feedback under mentorship from experienced engineers.
  • Document processes, results, and analyses to support ongoing improvement efforts.

What We're Looking For

  • Actively pursuing a Bachelor’s or advanced degree in Mechanical, Manufacturing, Industrial, Aerospace Engineering, or a related field.
  • Expected to complete or have completed final degree within one year of the internship’s end.
  • Some experience in a manufacturing, robotics, or prototyping environment (internships, research projects, or coursework welcome).
  • Proficiency in CAD software (e.g., SolidWorks, Fusion 360, Rhino) through academic projects or prior work.
  • Familiarity or coursework in CAM, tool path generation, or basic robot programming.
  • Foundational data analysis skills (MATLAB, Python, advanced Excel, or similar tools).
  • Willingness to work on open-ended problems, make rapid decisions, and adapt quickly in a fast-paced environment.
  • Attention to detail, ability to follow instructions, and commitment to safety.
  • Good written and verbal communication skills; able to collaborate with interdisciplinary teams.

Preferred Qualifications

  • Experience in surface modeling via CAD coursework or projects.
  • Exposure to industrial robots (FANUC, KUKA, ABB, etc.) from labs or classes.
  • Familiarity with 3D scanning or inspection tools.
  • Experience with Python scripting, automation tools, or coding basics.
  • Exposure to CNC machining, additive manufacturing, or digital manufacturing coursework.
  • Experience working in a production or team environment.
  • Understanding of safety, especially in engineering labs or manufacturing facilities.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.

Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

What this application asks

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Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website

  • As defined in the ITAR, “U.S. Persons” include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a “U.S. Person.” The person hired will have access to information and items controlled by the International Traffic in Arms Regulation (ITAR), and, therefore, must either be a “U.S. person” as defined by 22 C.F.R. § 120.15 or otherwise eligible for a federally issued export control license. To assist Machina Labs in assessing its export compliance obligations in relation to your application, please identify which statement best applies to you: choose one
  • What excites you most about working at Machina Labs? written answer
  • Machina’s mission is to make manufacturing reconfigurable through software. How does that vision align with your interests or past work? written answer
  • This role is highly hands-on, with daily iteration between CAD, robot programming, and physical forming. Tell us about a time you worked in a similar environment that required both digital modeling and physical validation. written answer
  • Are you able to commute daily to our Chatsworth, CA facility? written answer

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