Summer Intern: Manufacturing Engineering Technology

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture. Our 10-week paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship!

In this role, you’ll gain exposure to multiple disciplines that are essential to delivering world-class aerospace systems, including Program Planning Engineering, Production Planning, Material Logistics Engineering, Quality Engineering, Prototype Build Engineering, and Advanced Manufacturing Engineering.

Intern Project Scope & Description:

Work on real projects, meaningful and interesting work, with a mentor to guide you.

Help solve problems during development of next generation products.

Support program planning and scheduling activities, helping track milestones, deliverables, and dependencies across engineering teams.

Assist production planning and logistics engineers with material coordination, inventory tracking, and supply chain optimization.

Collaborate with quality engineers to collect production data, perform defect analysis, and support corrective actions.

Participate in advanced manufacturing and process improvement projects, contributing to initiatives that enhance efficiency, repeatability, and product quality.

Prepare reports, presentations, and metrics to communicate progress and insights to engineering and leadership teams.

Currently pursuing a Bachelor’s or Master’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Systems Engineering, or a related technical field.

Proficiency with Microsoft Office (Excel, Project, PowerPoint).

You are expected to graduate in December 2027 or Spring 2028.

Experience or coursework in project management, manufacturing systems, quality engineering, or supply chain logistics.

Familiarity with data visualization or process modeling tools.

Demonstrated interest in aerospace, prototyping, or advanced manufacturing technologies.

$34- $54 an hour - Your salary will be determined by academic level.

You may also be eligible for a stipend to subsidize relocation costs. As an intern, you will receive the opportunity to attend presentations from company leaders, social and networking events, as well as mentorship from current Shield AI Engineers. Interns are also eligible for paid company holidays.

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Shield AI is proud to offer competitive pay and a housing stipend for qualified hires. While our People Experience team provides resources and assistance, interns are responsible to find their own housing and travel to and from their office location.

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We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.