Job Properties
  • Job Type
    Full-time Position
  • Background
    Engineering
    IT
  • Languages
    English
  • Experience Required
    Entry
  • Degree Required
    Bachelor
    • Province
      Eindhoven
    • Date Posted
      October 04,2020
    • Career Consultation
    • Career Consultation
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    Internship - Data Driven Automation

    NXP Semiconductors N.V. (NASDAQ: NXPI) enables secure connections and infrastructure for a smarter world, advancing solutions that make lives easier, better, and safer. As the world leader in secure connectivity solutions for embedded applications, NXP is driving innovation in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has over 29,000 employees in more than 30 countries and posted revenue of $8.88 billion in 2019.

    POSITION OVERVIEW

    Are you passionate about software engineering and would you like to gain practical experience in a multinational environment? Are you creative and eager to deliver out of the box ideas and solutions to our business?

    The markets in which NXP operates demand "Total Quality" and verification of chip designs is of paramount importance to prevent that products with errors reach the customers of NXP. Two trends have led to an exponential growth of High Performance Compute (HPC) capacity required to verify chip designs: the ever shrinking scale of the design (typical gate size in a modern design is 5 nm) in combination with ever growing functionality packed into a single IC. In addition to these trends, NXP business demands agility form IT to scale-up and -down.

    The NXP HW design infrastructure is a cutting edge HPC environment relying more and more on technologies of cloud, container, and big data. NXP’s R&D IT team is focused on providing to our engineers the essential IT tools that would allow them to perform their designs tasks in an optimal way. Software engineering plays an important role in that direction, as the complexity, scale, and speed of decision making demand reliable automation.

    In this dynamic environment we have room for a student Software Engineering with an interest in Data Science, who is looking for a challenging assignment. Specifically, we would like to see how we can use Big Data and Machine Learning to improve the utilization of our HPC capacity. The idea is to use machine learning and big data analysis to optimize the algorithm for automated job scheduling - in terms of memory and CPU utilization.

    YOYR TEAM

    You will be part of NXP’s Technology & Operations organization, which ensures the delivery of high quality, scalable, cost-competitive technologies and products to create a competitive advantage for our customers.

    YOUR RESPONSIBILITIES

    • Problem and requirements analysis (CPU / memory utilization)
    • Work together with domain specialists and data scientists
    • Design an optimized software solution for automated job scheduling
    • Code and test the automated job scheduling
    • Quality assurance through code review
    • Integrate the software into the existing jobs scheduling infrastructure

    WHAT’S IN IT FOR YOU

    • You will be part of an Agile team (DevOps & SAFe practices)
    • An inspiring high tech environment which encourages learning
    • Opportunities to develop your skills (technical, soft skills, communication, etc.)
    • A multinational and diverse environment
    • Possibility to become part of NXP’s Young Professional Talent Pool
    • Working on real assignments which contribute to NXP’s objectives

    YOUR PROFILE

    • A BSc or MSc degree in Software Engineering
    • Proficiency in Python, Java, C, C++, and SQL
    • Object-Oriented Design (Abstraction, Encapsulation, Inheritance, Polymorphism)
    • Software testing and debugging
    • Ability to problem solve
    • Logical thinking
    • Good communication skills in English (both verbal and written)
    • You are not afraid to speak your mind and share your ideas with the team
    • You like being creative in finding solutions
    • You are eager to learn and work together with other disciplines

    DURATION

    Fulltime (40 hours per week) for a duration of about six months, starting in January 2021.

    Please note that in order to be considered for an internship/working student, you need to be registered as a student during the entire period.

    If you are as excited about this opportunity as we are, then we kindly invite you apply via our external careers site.

     
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