Applications Engineering Intern
About The Position
EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. Job PurposeThe Applications Engineering department is seeking a motivated and technically curious Applications Engineering Intern for the Summer 2026 term. This role provides hands-on experience in AI development, data analysis, engineering processes, and cross-functional collaboration. The internship will focus on two major projects designed to support both departmental objectives and the intern’s professional growth.
Requirements
- Actively pursuing a Bachelor’s degree in Electrical Engineering (or related engineering discipline).
- Experience or coursework in: Data analysis and statistical methods Computer programming (Python, MATLAB, or similar) Engineering problem-solving
- Strong analytical skills and attention to detail.
- Curiosity, initiative, and willingness to learn new tools and concepts.
Nice To Haves
- Experience with large datasets or database querying.
- Familiarity with AI/ML concepts or projects.
- Exposure to SAP or similar ERP systems.
Responsibilities
- Using internal technical documentation to train and configure an agentic AI system.
- Learning how to structure, manage, and refine data sources for AI use.
- Testing the agent against real technical inquiries and validating outputs with Applications Engineering staff.
- Iteratively improving the agent’s performance by adjusting inputs, refining data, or enhancing the model’s knowledge base.
- Documenting processes, findings, and recommendations for long-term scale and support.
- Learning the engineering attributes and configuration elements of MP battery products.
- Handling and analyzing large datasets related to product weights and manufacturing attributes.
- Applying sound statistical methodologies to identify trends, anomalies, and process improvement opportunities.
- Collaborating with Applications Engineering, Operations, and IT to design and integrate new process checks into SAP.
- Supporting documentation, data validation, and change management steps for SAP updates.
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
