Machine Learning Embedded Software Engineer

Bucharest

Applications have closed

Ready to join the future of innovation at NXP?

NXP Semiconductors 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, we are driving innovation in the secure connected vehicle, end-to-end security & privacy and smart connected solutions markets.  Built on more than 60 years of combined experience and expertise, the company has 45,000 employees in more than 35 countries. Additional information can be found by visiting www.nxp.com.

Your responsibilities

  • Design, develop, test and optimize ML/AI software for NXP MCUs,  MPUs and accelerators;

  • You will be part of a global team developing software and testing infrastructure for ML services on NXP MCUs and MPUs;

  • Present technical solutions within the team or within larger groups.

Your team

As a member of our team that develops software for ML, you will extend your practical experience on neural network architectures, model training, inference, optimization and deployment.

As part of your daily activities you will create, test and maintain code for deploying neural networks on NXP hardware like microcontrollers, general purpose microprocessors, DSPs, GPUs or specialized neural accelerators using open source or proprietary software inference engines like neural network compilers or runtime software technologies.

You will work with and learn from recognized technical leaders in the ML domain.

You will be part of Agile teams and you’ll use state-of-the-art software lifecycle management tools while following ML software development standards.

Your profile

Must have skills:

  • Good C and C++ programming skills

  • BS or MS degree in Computer Science, Computer Engineering, or related degree

  • Deep understanding of embedded systems architectures and operating system fundamentals

  • Good knowledge of Linux development environment

  • Good Python skills

  • Good knowledge of Machine Learning concepts: Convolutional Neural Networks, Conv2D, MaxPool, AvgPool, Dense, non-linear activations, quantization

  • Good knowledge of signal processing and common algorithms: matrix algebra, convolution, correlation, Look Up Tables

  • Troubleshooting skills (program debugging, solve compiling issues, solve network miss configurations)

  • Good knowledge of software and algorithms optimizations

  • Interested in and curious about ML/AI

  • Good technical presentation skills

  • Fluency in English written and spoken

The following are pluses:

  • Experience with deep learning frameworks (TensorFlow, Keras, Pytorch) and familiarity with state-of-the-art NN architectures (SSD, MobileNet, ResNet, Yolo)

  • A good understanding of the fundamentals and best practices of traditional machine learning algorithms

  • Experience with low-level device drivers

  • Familiar with ARM architectures (Cortex-M and Cortex-A)

  • Cloud/Edge concepts. Different scenarios of blending cloud with edge

  • Good knowledge of OpenCL and GPU programming

  • Experience with Agile methodology

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.

What can you expect

Contract: This is a fulltime position with a permanent contract

Compensation: Besides a good salary, you will be eligible for our bonus plan and receive lunch vouchers, 25  vacation days and the possibility to buy company shares with a 15% discount. We also have flexible work hours and a work from home policy.

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 offer online and offline learning opportunities to help you develop some of your core and professional skills.

Our office: We are based in one of the high tech hubs in Bucharest with easy access to public transport and restaurants and parks close by. We have many relaxation areas on-site, including a little library where you can borrow books, sofas to relax in a quiet place and a cafeteria and restaurant in our common area.

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 phone or 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. We like to start our day with a free coffee and chat with a colleague and on Thursdays we have fresh fruits for all employees. Join us at one of the many social activities that are organized by and for employees such as our Christmas parties, our employee children’s party and food fairs. Or help us give back to society by donating blood or collecting clothes and food for children in need.

What’s next

If you’re excited about this opportunity, we kindly invite you to apply!

If you have any questions, we are happy to answer them.

More information about NXP in Romania...

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture Computer Science Deep Learning Engineering GPU Keras Linux Machine Learning Model training Open Source Privacy Python PyTorch ResNet Security TensorFlow Testing YOLO

Perks/benefits: Career development Flex hours Flex vacation Lunch / meals Salary bonus Startup environment Team events

Region: Europe
Country: Romania

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