Software & Automation Intern - Remington Ammunition

The Kinetic Group•Lonoke, AR

1d•$22 - $26•Hybrid

About The Position

The Kinetic Group is a world leader in the design, manufacturing, and distribution of small caliber ammunition under the iconic brands B&P, CCI, Federal Premium, Fiocchi, HEVI-Shot, Remington and Speer. We have domestic ammunition manufacturing facilities in Minnesota, Idaho, Arkansas, and Missouri, and service law enforcement, government agencies and sporting enthusiasts throughout the world. Today, The Kinetic Group is a part of the Ammo+ division of The Czechoslovak Group (CSG), which holds a diverse portfolio of companies in the defense, security, automotive, aerospace and rail industries. At The Kinetic Group, our interns play a vital role in advancing our mission to deliver high-quality, reliable ammunition to customers worldwide, offering you a unique chance to make a real impact in an industry fueled by precision and passion. Remington Ammunition is seeking a Software & Automation Intern to support our advanced automation initiatives at our Lonoke, AR facility. In this hybrid role, you will work on cutting-edge projects that merge software development with industrial automation. From developing machine vision inspection systems using YOLOX on NVIDIA Jetson devices to building SCADA (Supervisory Control and Data Acquisition) dashboards for real-time machine monitoring, this internship offers hands-on experience at the intersection of software and industrial automation. You'll collaborate with a small engineering team on innovative solutions in manufacturing, gaining exposure to tools like PLCs, HMIs, Modbus communication, and data analytics with Power BI. This position reports to the Sr. Manager of Special Projects and is based out of our Lonoke, Arkansas office.

Requirements

Education: Currently pursuing a degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field (Junior level or higher, at least 2 years completed).
Programming: Strong foundation in Python; familiarity with C# and software development best practices.
Data & Web: Experience with SQL databases and basic web development; ability to build (or quickly learn to build) data pipelines for data processing and analysis.
Machine Learning: Knowledge of machine learning or computer vision (experience with frameworks like YOLO is a plus).
Analytics: Familiarity with data visualization or BI tools (e.g., Microsoft Power BI) for reporting.
Adaptability: Excellent problem-solving skills, eagerness to learn new technologies, and ability to work in a fast-paced industrial environment.

Nice To Haves

Industrial Automation: Experience or coursework in industrial control systems – e.g., working with PLCs, HMIs (Human-Machine Interfaces), or SCADA systems.
Hardware Knowledge: Basic electrical or electronics knowledge (ability to understand wiring, sensors, etc. in an industrial setting).
Edge Computing: Familiarity with NVIDIA Jetson or similar edge computing devices for deploying AI models.
Protocols: Understanding of communication protocols like Modbus/TCP, OPC UA, or similar, used in connecting to industrial equipment.

Responsibilities

Machine Vision Development: Assist in creating in-house machine vision inspection tools using YOLO/YOLOX and deploying them on NVIDIA Jetson devices. This includes integrating vision systems with production equipment, PLCs (Programmable Logic Controllers), and circuits for real-time quality inspection.
SCADA & Data Dashboard: Help develop SCADA systems by polling machines via Modbus and building a local web server for real-time dashboards. Integrate machine data with Power BI and other analytics tools to support data-driven decision-making on the factory floor.
Software & Web Development: Contribute to developing internal software tools and web interfaces (using Python, C#, and web frameworks) to connect various automation systems. Build data pipelines that collect, process, and visualize production data.
Collaboration & Troubleshooting: Work closely with an engineer mentor and cross-functional teams to implement and test automation solutions. Participate in troubleshooting hardware/software issues, optimizing system performance, and documenting processes.