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Internships
Locus Robotics is a leader in the rapidly growing eCommerce order fulfillment optimization space. Our solution helps warehouse owners attain 2-3X efficiency improvement over cart-picking operations, by empowering pickers to work collaboratively with our robots. All this is accomplished while integrating with the operator’s Warehouse Management System, utilizing and optimizing existing facility infrastructure. This is an opportunity to join the ranks of a brilliant, high performance team, deploying cutting-edge technology to address real-world logistics challenges for major global brands.
As a Product Quality Intern at Locus Robotics, you’ll play a meaningful role in shaping the reliability and performance of our cutting‑edge robotic solutions. You won’t just observe, you’ll own hands‑on projects that improve robot quality, build triage guides and process flows used across the organization, and transform raw data into insights that drive real decisions. Working side‑by‑side with our Product Quality team, you’ll gain exposure to supplier qualification, part validation for new product introduction, and the full lifecycle of quality engineering. This internship offers real impact. You’ll work in a collaborative, fast‑paced environment with mentorship that accelerates your professional growth.
Onsite position located at our Wilmington, MA headquarters, requiring five (5) days per week onsite. Only local candidates will be considered.
Internship period is May/June - August 2026, during standard business hours (Monday - Friday, 9:00 AM - 5:00 PM ET).
Responsibilities
Qualifications
Additional Information
Locus Robotics is an equal opportunity employer
The expected hourly rate for this internship ranges from $20 to $30 per hour, depending on the candidate’s degree program (undergraduate or graduate) and relevant skills, experience, and qualifications.
Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.