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.
Are you passionate about data 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. Data analytics of course play an important role in that direction, as by collecting information about our IT resources we can make sure that they are used in an optimal way.
In this dynamic environment we have room for a data science student with a background in software engineering, 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 automated job scheduling in terms of memory and CPU utilization.
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..
Looking into big data sources, discovering patterns (e.g. data mining, profiling)
Data story-telling (e.g. to stakeholders)
Working together with data scientists and domain experts
Creating innovative solutions to deliver high quality data to the business
Working on the optimization of IT resources (CPU / memory utilization)
Uncovering insights for informed business decisions
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
A BSc or MSc degree in Data Science or similar discipline
Proficiency in Python, Java, R, or SQL
Ability to organize, analyze, and present data
Big data tools like Hadoop, Hive, and Pig
Experience in manipulating datasets and building statistical models
Understanding of best practices of data mining and cleansing
Efficiency in managing unstructured data
Strong collaboration skills
Good communication skills in English (both verbal and written)
You are not afraid to speak your mind and share your ideas with the team
Fulltime (40 hours per week) for a duration of about 6 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.