Working Student (f/m/d) Product Engineering RADAR SYSTEMS (Tool development based on Data Science, Machine Learning)

4 Minutes ago • All levels • Data Analysis

Job Summary

Job Description

Join NXP's Product Engineering team to develop ML tools for RF performance prediction, anomaly detection, and data clustering, improve analytics tools, and build automated data pipelines. This role involves integrating academic and industry research into practical solutions. We seek a curious, self-motivated student with strong Python skills, experience in ML libraries like scikit-learn, TensorFlow, and PyTorch, and a solid foundation in statistics and data analysis. Interest in radar systems, data science, and AI is essential, along with a quick learning ability and independent work ethic.
Must have:
  • Develop ML tools for RF performance prediction, anomaly detection, and data clustering.
  • Improve and validate existing analytics tools.
  • Build automated data pipelines and contribute to AI-driven workflows.
  • Integrate academic and industry research into practical solutions.
  • Enrollment in Computer Science, Electrical Engineering, Physics, or a related field.
  • Strong Python skills.
  • Experience with ML libraries (scikit-learn, TensorFlow, PyTorch).
  • Solid foundation in statistics and data analysis.
  • Interest in radar systems, data science, and AI.
  • Ability to learn quickly and work independently.
  • Ability to incorporate research into practical engineering solutions.
  • Fluency in English.
Good to have:
  • Fluency in German
Perks:
  • Technical mentorship
  • Collaboration with international experts
  • Access to a broad knowledge network
  • Online and offline learning opportunities for career development
  • Commitment to sustainability
  • Inclusive work environment
  • Programs focused on diversity, inclusion and equality

Job Details

Your responsibilities:

Join our Product Engineering team and take ownership of impactful, research-driven projects that shape the future of radar systems. You’ll work independently, collaboratively and bring your own ideas and solutions to the table to:

  • Develop ML tools for RF performance prediction, anomaly detection, and data clustering
  • Improve and validate existing analytics tools
  • Build automated data pipelines and contribute to AI-driven workflows
  • Integrate academic and industry research into practical solutions

You’ll receive technical mentorship and collaborate with international experts across radar hardware, software, and data science—gaining access to a broad knowledge network.

Your profile:

We’re looking for a curious, self-motivated student who enjoys solving complex problems and is eager to take initiative. You should bring:

  • Enrollment in Computer Science, Electrical Engineering, Physics, or a related field
  • Strong Python skills and experience with ML libraries (scikit-learn, TensorFlow, PyTorch)
  • Solid foundation in statistics and data analysis
  • Interest in radar systems, data science, and AI
  • A mindset for learning quickly and working independently after an initial ramp-up
  • The ability to incorporate research into practical engineering solutions
  • Fluency in English (German is a plus)

Tech Stack

  • Languages & Libraries: Python, NumPy, Pandas, scikit-learn, TensorFlow, PyTorch
  • Visualization: Matplotlib, Seaborn
  • Cloud: AWS (S3, EC2, SageMaker)
  • Tools: Jupyter Notebooks, Git

Working time: max. 18 hrs/week

Job location: Hamburg, on site

More information about NXP in Germany...

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NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com

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Career Development Opportunities

Bright Minds. Bright Futures.

We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Read More

Commitment At NXP.

We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.

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Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips.

Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page.

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About The Company

NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.comRead MoreCareer Development OpportunitiesBright Minds. Bright Futures.We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.Read MoreCommitment At NXP.We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future.

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