Application Engineering Intern

Responsibilities

• Assist in designing, building, and optimizing customer-facing demonstrations and Proofs of Concept that showcase Emerson Test & Measurement solutions.
• Support Application Engineers in evaluating customer requirements and identifying appropriate hardware and software solutions.
• Develop and enhance demonstration systems using NI software and hardware platforms.
• Research emerging technologies, customer applications, and industry trends to support new business opportunities.
• Troubleshoot and resolve technical issues within demonstrations, Proofs of Concept, and application examples.
• Collaborate with Sales, Product Management, Marketing, and Engineering teams on customer opportunities and technical initiatives.
• Participate in customer meetings, product demonstrations, technical workshops, and training activities.
• Document solutions, architectures, findings, and best practices to support future customer engagements and internal knowledge sharing.

Requirements

• Currently pursuing a Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
• Experience with test and measurement equipment such as oscilloscopes, digital multimeters, function generators, power supplies, or data acquisition hardware.
• Familiarity with one or more programming environments such as LabVIEW, Python, C, C++, or C#.
• Basic understanding of engineering measurement systems and instrumentation.
• Strong verbal, written, and presentation skills.
• Able to work effectively in collaborative team environments.

Qualifications

• Self-driven with the ability to take initiative and contribute to project outcomes.
• Open to feedback and continuous improvement.

Preferred Qualifications

• Knowledge of software architecture, design principles, or automated test systems.
• Exposure to one or more technical areas such as Data Acquisition and Instrument Control, FPGA-based systems, Embedded Systems, Automation and Control, Power Electronics, Mixed Signal Measurements, Wireless and RF Technologies, Machine Learning, or Data Analytics.