Security Architect for Embedded Systems and Machine Learning (m/f/d)
NXP
Gratkorn
vor 5 Tg.

NXP Semiconductors N.V. enables secure connections 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 approximately 30,000 employees in more than 30 countries and posted revenue of $9.41 billion in 2018.

Responsibilities and Mission :

  • Develop Machine Learning based security concepts for embedded systems
  • Bridge between Research and Development on new concepts
  • Work in multidisciplinary project teams to define future product architectures
  • Work in a team to develop prototype implementations and proof of concepts
  • Your Profile :

  • Have a PhD / Master in Security, Software Engineering, Electronics, Mathematics
  • Have very good understanding of Embedded Secure Systems and Services in IoT
  • Are used to an independent working style
  • Be willing to travel
  • English business fluent
  • NXP offers competitive compensation. Due to Austrian law we are obliged to state the minimum gross salary according to legal regulations and for this role this amounts to EUR 70.

    000 gross. Depending on experience and education higher remuneration is possible.

    Moreover, we provide attractive benefits to our employees.

    Please note that this position is a proactive search, as we are permanently looking for talented people in this area to support our growth.

    If you are interested in this domain at NXP, we would encourage you to apply, and our hiring team will be glad to contact you.

    Please note that due to the global COVID-19 situation, the hiring process might be delayed. Our Talent Acquisition team is looking forward to receiving your application and will reach out to you as soon as possible.

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