R&D Software Engineer

On site

Ghent, Belgium

Full Time

03-04-2025

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Job Specifications

Overview

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking a highly skilled Device Modeling Software and Machine Learning Engineer to join our team. This unique role combines the expertise of device modeling with advanced machine learning techniques to innovate, optimize, and improve the performance of semiconductor devices. The ideal candidate will have a strong foundation in both device modeling (such as GaN, HEMT, and other semiconductor technologies) and machine learning algorithms to analyze, model, and predict device behavior, leading to more efficient and reliable product designs.

As a key member of our team, you will apply machine learning methods to device characterization, model extraction, and performance optimization in collaboration with cross-functional teams including device physicists, electrical engineers, and software developers.

Responsibilities:

Develop and maintain accurate and efficient models for semiconductor devices, including GaN, HEMT, and other advanced technologies.
Apply machine learning algorithms (e.g., supervised learning, reinforcement learning, neural networks) to optimize device modeling, parameter extraction, and performance prediction.
Use advanced data analytics to process large datasets from device measurements and simulations, creating insights for improved modeling and performance optimization.
Design and implement machine learning-driven tools and workflows to automate the extraction and optimization of device models from experimental and simulation data.
Work with device engineers to ensure that machine learning models are accurately integrated into the design process, improving device design and verification.
Continuously validate models by comparing machine learning-predicted performance with real-world test data, iterating on the models as necessary.
Develop software tools using languages such as Python, MATLAB, or C++ to facilitate device modeling, data analysis, and integration of machine learning techniques.
Leverage machine learning to predict device performance under different operating conditions, optimizing for power efficiency, reliability, and speed.
Stay up-to-date with the latest developments in machine learning, device modeling, and semiconductor technologies, incorporating new techniques and approaches into your work.

Qualifications

Qualifications:

Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Physics, or a related field.
3+ years of experience in device modeling and machine learning applications, ideally in semiconductor or RF device design.
Strong experience with device modeling techniques for advanced semiconductor devices, such as GaN, HEMT, or MOSFETs.
Solid understanding of machine learning algorithms, data preprocessing, and model validation. Experience with deep learning, neural networks, or reinforcement learning is a plus.
Experience with software tools such as IC-CAP, MATLAB, Python, and machine learning libraries (TensorFlow, PyTorch, scikit-learn, etc.).
Experience analyzing and processing large-scale experimental or simulation data sets.
Proficiency in programming languages such as Python, MATLAB, C++, or similar.
Strong analytical and problem-solving skills, with the ability to innovate and solve complex challenges in device performance modeling.
Excellent written and verbal communication skills, with the ability to explain complex concepts to cross-disciplinary teams.

Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.***

About the Company

Keysight's internet infrastructure solutions are ready to provide deeper insights into your designs in a minimum of time. This allows you to make the next step to higher data rates most efficiently. Know more

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