Internship: AI-based Test & Measurement Workflows in Dresden

Wireless communication, sensing technologies and RF components continue to increase in complexity with added functionality. At the same time, AI is transforming the way engineers design and test these systems and how we all use them. In this internship, you will be looking at ways to modify traditional workflows in test design and analyzing measurement results using AI technology to improve their outcome significantly.

• Literature research
• Building proof-of-concept implementations of selected algorithms and functionality
• Setting up and performing measurements
• Assessing performance and quality of results of the implemented algorithms and functionality
• Demonstrating your work to internal stakeholders
• Documenting your work
  

You are passionate about wireless technology and like to learn and work with the latest test and measurement techniques and equipment. You take time to ask questions and define the problem and make learning a priority. You work effectively in a group environment, solve problems, diagnose technical issues and propose reasonable solutions. You prepare content for communication that is impactful and reach out to mentors with questions to help drive progress and completion of goals and tasks.

• Ongoing academic studies in Electrical Engineering, Information System Technology, Computer Science, or comparable field of studies (from 4th semester)
• Basic programming knowledge (e.g., Python or C/C++)
• Interest in data science and/or AI with a solid understanding of basic statistical methods
• Basic knowledge of RF engineering
• Basic knowledge of measurement systems and how to take meaningful measurements
• Good command of spoken and written English and/or German
• Availability for 4 to 6 months starting in April 2027
• This internship must be a mandatory part of your studies
  

• Experience in the practical use of data analysis tools or methods (in classification & regression, estimation & prediction, data correlation, principal component analysis, …)
• Experience in the practical use of machine learning, deep learning, artificial intelligence tools or methods (AI APIs and toolchains, PyTorch, Tensorflow, …)
• Experience in taking measurements in the field of electronics, ideally RF engineering, including knowledge about typical uses of instrumentation like signal & arbitrary waveform generators, as well as signal, spectrum, & network analyzers
• Good knowledge of programming and RF engineering
• Ability to work independently in a structured way
  

We attach great importance to your development, so we want to make sure that you not only find a challenging job with us, but also a workplace that is supportive and rewarding. You'll receive structured onboarding as well as dedicated support from professional mentors.

Practical expertise imparted:

• Opportunity to work with the latest measurement techniques and equipment
• Experience in improving technology day by day
• Get insight into how day-to-day business looks like for an engineer
• Work in an international R&D team
  

In addition, you can expect a variety of attractive employee benefits:

• Fair compensation
• Flexible working hours
• Team events and free drinks, fruits, and veggies
  

We are committed to providing an inclusive, open, and welcoming workplace environment for people, helping all to make the most of their professional potential.

Are you interested?
If so, we look forward to receiving your application via our application portal, including motivation letter, CV, compulsory internship certificate from your university internship or examination office, most recent certificates and grade transcripts.

National Instruments Dresden GmbH
Ms. Nataliia Verbylo
Am Waldschloesschen 2
01099 Dresden
Germany