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Job Description
Engineering/Development Co-op Intern | MKS Instruments
The Tone:
This is a 4-month internship/co-op at MKS Instruments, focusing on optical sensors and systems. The company’s OSP division designs, manufactures, and distributes cutting-edge products for measuring temperature and position. These solutions are vital for customers in the semiconductor and other high-technology industries, contributing to devices like cellphones, smartwatches, TVs, and computers. This role offers a significant opportunity to support the development of new technologies and products, providing substantial hands-on experience and growth.
The TL;DR
• Role: Internship
• Type: Temporary
• Location: In-person
• Pay: $25 hourly
• Team: Reports directly to the Principal Optical Engineer within the Engineering group.
• Mission: Support the development of new technologies and products in optical sensing and measurement.
• Tech Stack: Python, LabView, MATLAB
What You’ll Actually Do
• Experiment Design: Participate in the design, implementation, and analysis of experiments to evaluate the characteristics of precision temperature and position sensing technology and products.
• Equipment Development: Participate in the design, simulation, construction, and validation of new test equipment for optical and thermal systems.
• Equipment Calibration: Learn about and actively participate in the setup and calibration of optical and thermal characterization equipment.
• Documentation Management: Develop and maintain comprehensive test documentation, including detailed test plans, clear test procedures, and accurate test reports.
• Data Analysis: Utilize statistical analysis software to effectively analyze collected data and formulate data-based conclusions.
The Must-Haves
• Background: Enrolled in a Bachelor’s Degree program in Engineering, Mechatronics, Physics, or another relevant major, indicating an early career stage.
• Experience: Demonstrates a good comfort level with hardware, lab equipment, and possesses capabilities for hands-on troubleshooting in a technical environment.
• Skills: Possesses excellent technical, analytical, and problem-solving abilities, coupled with a systematic approach to data interpretation and strong attention to detail. Proficiency in programming languages such as Python, LabView, or MATLAB is also required.