Radar ML engineer
Eindhoven
NXP Semiconductors
Radar is a core perception technology in advanced driver assisted systems (ADAS) for enhancing safety and convenience. Future radar systems in vehicles will likely move to the higher millimeter-wave bands and incorporate more digital processing.
Your Responsibilities:
- Design, validate and benchmark machine learning algorithms for automotive radar in ADAS applications
- Assist in data acquisition initiatives for algorithm proof-of-concept validation
- Actively collaborate with NXP community of signal processing and machine learning experts
- Proactively identify control points for algorithms in terms of product differentiatiors, inventions etc
As a candidate for this position, it is expected that you have:
- Master’s student in electrical/electronic engineering, or a relevant field of study.
- Strong background in ML, and algorithms.
- Experience in automotive radar and signal processing methods, and an interest in growing your expertise in radar and ADAS.
- Experience in Matlab/Python programming.
- Strong oral and written communication skills in English.
- Strong motivation in working in an R&D environment.
Creating Secure Connections and Infrastructure for a Smarter World
NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world.
We are in the business of better. Not just better technologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world’s most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live.
Ready to create a smarter world? Visit our career website and follow us on social: LinkedIn, Facebook, and Twitter.
To learn more about NXP in the Netherlands, click here.
What can you expect
Contract: This is a full-time position with a permanent contract. However, we are open to discuss a part-time opportunity (between 32 and 38 hours) as well.
Benefits: Besides a competitive salary, we offer great benefits as part of our CLA. A bonus plan, possibility to purchase extra holidays, an excellent pension plan, a work from home policy, and the possibility to buy company shares with a 15% discount are some examples. When applicable we also provide a relocation package and support for your move to the Netherlands.
Development opportunities: 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 provide you with a mix of learning through on-the-job experiences, learning from industries bests, and learning through education to help you develop your core and professional skills.
Our offices: The Netherlands is home to our global headquarters (Eindhoven) along with two additional sites (Nijmegen & Delft) and includes a diverse team of over 2000 employees with 51 different nationalities focused on R&D, manufacturing, product development, business operations, legal and sales.
Hiring process: Applying only takes a minute! Fill in the online application and share your CV with us. After a positive screening based on your CV you will have an initial video conversation with our Talent Acquisition Consultant followed by several business interviews. Here are some useful tips to help you prepare.
And more: Life at NXP is more than work alone. Join one of the many social activities that are organized by and for employees in the Netherlands, such as our Christmas parties and International Walking Day. We have a YOUNG community that organizes a mix of social and professional events for our young professionals and an active Women in Technology network. We also take time to give back to our communities by engaging young girls to learn about Technology during Girls Day or participating in several volunteering activities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Machine Learning Matlab Python R Radar R&D
Perks/benefits: Career development Competitive pay Relocation support Salary bonus Startup environment Team events
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