Dresden

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For more than 40 years, NI has developed automated test and automated measurement systems that help engineers solve the world’s toughest challenges.

NI’s R&D Center in Dresden, Germany develops test systems for the upcoming cellular 5G and 6G standards. We believe that research at the intersection of big data analysis, AI/ML, and wireless communications will pave the path towards 6G and beyond communication networks enabling new applications and use cases.

The Dresden team is looking for a RF Systems Engineer with focus on PHY Layer and experience in Data Analysis who can help us bridging these domains in an interdisciplinary research role at NI. The ideal candidate has experience in data science, in at least one data analytics platform, AI/ML and knows how the concepts can be applied in RF systems from PHY to network layer.

 

Your Responsibilities

You will be in a technical leadership role and directly work on the future of wireless communication systems within NIs innovation programs to tackle the challenges of data analysis, the incorporation of AI/ML and application towards RF topics covering newest wireless communication standards such as 5G and 6G.

Your tasks and responsibilities would include:

  • Tech leading for groundbreaking innovation programs at the intersection of RF, Wireless Communication Systems, data science, and AI/ML
  • Active acquisition and management of public funded research projects
  • Leading cross-team collaborations and discussions
  • Help transferring research results into products
  • Internal education on data science and AI/ML topics

Your Qualifications

Required Qualifications:

  • Master of Science / Dipl.-Ing. degree in one engineering domain. PhD is beneficial
  • 5 to 10 years experience in Wireless Communications, data science, statistical signal processing, machine learning, or related areas
  • Knowledge of RF and Wireless Communications systems
  • Know-how about how to identify meaningful metrics for data analysis and machine learning
  • Familiarity with end-to-end machine learning development process
  • Very good communication skills within a diverse, international team
  • Very good presentation skills
  • Fluency in English

Preferred Qualifications:

  • Experience in development script languages like MATLAB or Python (e.g., SciPy, SciKit, NumPy)
  • Database usage experience
  • Familiarity with Neural Networks frameworks like Tensorflow

Your Benefits

  • Challenging and practice-oriented work
  • Development of top-notch technologies for the next decade
  • Structured onboarding program and mentorship
  • Excellent development opportunities in a multinational company
  • Competitive compensation and benefits package that includes profit sharing and employee stock plans
  • Positive environment for your work
  • Cooperative and helpful colleagues
  • Open door policy
  • Flexible working hours

 

Please submit following documents along with your application:

  • Brief motivation letter
  • CV/resume
  • Degrees and transcripts of records from your studies
  • If available: letters of recommendation
Machine Learning, AI, KI, Wireless, Forschung, MATLAB, Python, Neuronale Netzwerke, Tensorflow, SciPy, MINTsax.de, Empfehlungsbund