Machine Learning Engineering Internship

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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

This position is part of Keysight's Networks and Data Centers Solutions Group in Boeblingen/Germany. We are developing and manufacturing measurement solutions for chip and equipment manufacturers in the areas of high-speed communications, data centers, and computers. We are seeking a student within or on the way to a University Bachelor's degree with experience in digital communications and scientific programming.
This internship focuses on the use of AI/ML and Large Language Models for increasing the efficiency of testing electronic/optical ICs. You will have access to the highest-performance test equipment and be supported by industry-lead experts to carry out your work.

Completed study of Bachelor of Science in Electrical Engineering
* Experience with digital signal processing
* Experience with Matlab or Python
* Knowledge about data transmission technologies, Large Language Models and Machine Learning
* Self-motivated and prepared to dig into new and challenging problems
* Good Communication and English skills

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***Keysight is an Equal Opportunity Employer.***

Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.