Gain hands-on experience in a collaborative role testing and validating robotics systems in the eCommerce fulfillment space.
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.
The Robotics Mechanical / Test Engineering Internship will support the engineering team in testing, validating, and improving robotic systems used in warehouse automation.
This 2026 Summer Internship provides hands-on experience working with electromechanical hardware, test processes, and prototype robotic systems. The intern will assist engineers in evaluating product performance, supporting new product development, and helping ensure our robotic systems meet quality and reliability standards.
This experience offers an excellent learning opportunity to work directly with engineers and technicians on real-world robotics systems and testing environments.
This role is on-site based out of Nashua, NH. Local candidates only.
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.
Locus Robotics develops advanced warehouse automation solutions that enhance eCommerce order fulfillment, enabling warehouse operators to achieve significant efficiency gains with collaborative robotics. With an innovative Robots-as-a-Service model, Locus delivers flexibility and actionable insights, allowing businesses to optimize operations and improve productivity without heavy capital investment.
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