Overview

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‍Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

You will be assigned to the Quality engineering team that is focused on solving critical customer problems.   You will work with cross functional engineering teams from R&D, manufacturing, and procurement.  The assignments will allow you to work in a cross functional team that is developing our newest products.  As an Intern, you will apply your coursework knowledge to a focused hands-on project. At the same time, you will gain and apply knowledge about Keysight's products and technologies in your assignment.

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‍Responsibilities‍

Job Responsibilities:

• Work with teams to solve customer quality issues
• Build and maintain close relationships with; Quality Engineers, Manufacturing Engineers, and Production teams.
• Analyze data to find prioritize customer problems.
• Use knowledge of materials, physics, and engineering to understand technical problems.
• Find a balance between customer satisfaction and financial impact to Keysight.
• Actively participate in reliability improvement teams

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‍Qualifications‍

Job Qualifications

• Current student enrolled in Material Science, Statistics, Mechanical, Industrial or Electrical Engineering.
• Completed Junior-level coursework.
• Excellent teamwork skills, commitment to task, creativity in problem solving
• Ability to work collaboratively to solve difficult technical problems          
• Initiative to organize teams to solve quality problems
• Ability to convey complex ideas clearly and succinctly

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Desired Experience:

• Familiarity with Quality Engineering tools: Six Sigma, Lean, Basic Quality and Process Improvement Tools,
• Experience working on problem solving teams
• Familiarity with AI Tools
• Proficient in analyzing data and presenting results

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Candidates who wish to be considered must be enrolled in a accredited college/university as of September 2026. Applicants who have graduated before September 2026 will not be considered unless they are entering/applying to a MS or PHD program after graduating.

Visa Sponsorship is not available for this position. Candidates who now or at any point in the future require sponsorship for employment visa status (e.g., H-1B Visa status) may not be considered.

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