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Analytics Software Development Intern

Salary undisclosed

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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 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.

We are seeking a motivated and talented Software Development Intern to join our team. This internship offers an exciting opportunity to work on a software development project focused on creating measurement analytics software. The ideal candidate will have a strong interest in Big Data, Cloud technology, Analytics, and Machine Learning.

  • Collaborate with the development team to design, develop, and implement measurement analytics software.
  • Assist in the integration of Big Data technologies to handle large datasets.
  • Utilize Cloud technologies to ensure scalability and performance.
  • Apply Machine Learning techniques to analyze and interpret data.
  • Participate in code reviews and contribute to the improvement of development processes.
  • Document software features, functionalities, and processes.

Careers Privacy Statement

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

  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
  • Proficiency in programming languages such as Python.
  • Experience with Cloud platforms (e.g., AWS).
  • Strong understanding of Big Data technologies (e.g. Spark).
  • Knowledge of Analytics and Machine Learning techniques.
  • Excellent problem-solving skills and attention to detail.