Summer 2027 Engineering Internship, Manufacturing

Mach Industries•Victorville, CA

1d•$30 - $55•Onsite

About The Position

Mach Industries is seeking a Manufacturing Engineering Intern to support the industrialization of our products for high-rate production. In this role, you will work closely with the Product Engineering, Build Engineering, and Manufacturing Operations teams to design, validate, and launch high-volume manufacturing systems using cutting-edge Manufacturing Engineering techniques. This internship is focused on building at scale—delivering reliable hardware at speed. At Mach Industries, we are building decentralized, autonomous systems to maintain an allied American edge in modern warfare. As a Manufacturing Engineering Intern, you will contribute to developing flexible, adaptable manufacturing systems that enable rapid production at scale. Working with a world-class engineering team, you will help bridge the gap between design and rate-manufacturing, delivering solutions that support manufacturability, cost-efficiency, and rapid ramp.

Requirements

1+ years experience in mechanical, manufacturing, build, or integration through coursework, project teams, research, internships, or other hands-on engineering experience.
Pursuing a Bachelor’s, Master’s, or Doctoral degree in industrial & systems, mechanical, aerospace, manufacturing engineering, or a related field.
Expected graduation between December 2026 and December 2027.

Nice To Haves

2-3+ years experience in high-volume and/or high-tech Manufacturing environments, including, but not limited to, Automotive and Aerospace Technology organizations.
Experience leveraging Lean Six Sigma manufacturing principles during planning, ramp, or steady-state production.
Familiarity with probability- and statistics-based engineering problem-solving, preferably using software tools such as Minitab.
Hands-on experience with shop floor processes (machining, welding, composites, additive manufacturing, assembly, test).
Understanding of process documentation and quality systems.
Familiarity with GD&T, tolerance analysis, and process capability.
Experience designing components and assemblies through first-principles application of DFM/A strategies.
Familiarity with Manufacturing System Optimization strategies in high-volume production environments.
Proficiency in CAD, preferably Siemens NX, Catia, or SolidWorks.

Responsibilities

Support production planning from late-stage prototype builds through Mass-Production ramp at Mach’s Forge Factories.
Assist in designing high-throughput manufacturing systems that achieve world-class First-Pass-Yield at target cycle times.
Support product design optimization using first-principles DFM/A — focusing on part count and complexity reduction, tooling/equipment compatibility, and poka-yoke implementation.
Develop and execute fast-paced, robust Manufacturing launch schedules.
Support cross-functional Make vs. Buy studies with supply chain to secure rate-capable vendors and on-time part availability.
Participate in Manufacturing Virtual-Build events, covering fabrication feasibility/optimization, assembly sequencing, clearance analysis (hand/tool/material), GD&T, DVA, part presentation and handling, and tolerance stack-up risks (among other topics).
Help define manufacturing systems through coherent MBoM, BoP, and BoE datastructures, captured in EasyPlan, DELMIA, Heliux, or an equivalent supporting tool.
Collaborate with controls engineering to ideate and deploy automation cells and conveyance; support vendor management through Factory Acceptance Testing (FAT) and onsite bring-up (SAT).
Support headcount/equipment capacity planning, OPEX/CAPEX estimates, PMTS cycle time analysis (MODAPTS/MOST/MTM), factory layouts (AutoCAD), and NIOSH-compliant ergonomics.
Support PFEP (dunnage & material display), controlled work instructions/quality gates in MES, and daily production activities during validation and factory production ramp.
Support quality initiatives using SPC, PFMEA, 8D root cause analysis, and continuous improvement alongside technicians and cross-functional teams.