Digital design engineer - PhD student
STMicroelectronicsSlovenia22 hours ago
Full-timeOther
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OUR STORY
At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.
When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.
Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.
Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.
Position Overview
We are seeking a talented and innovative Digital Design Engineer to join our NFC development team. The candidate will focus on development of area-optimized neural network algorithms for next-generation NFC receiver systems, enhancing performance in signal detection, interference mitigation, and adaptive filtering.
Key Responsibilities
At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.
To discover more, visit st.com/careers.
At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.
When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.
Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.
Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.
Position Overview
We are seeking a talented and innovative Digital Design Engineer to join our NFC development team. The candidate will focus on development of area-optimized neural network algorithms for next-generation NFC receiver systems, enhancing performance in signal detection, interference mitigation, and adaptive filtering.
Key Responsibilities
- Design and implement digital architectures for neural network algorithms tailored to NFC receiver applications.
- Collaborate with other digital engineers to translate neural network models into efficient, low-latency hardware implementations.
- Develop RTL code (using Verilog/SystemVerilog) for digital signal processing blocks incorporating neural network inference engines.
- Optimize digital designs for power, area, and performance within the constraints of NFC front-end systems.
- Perform simulation, verification, and validation of digital designs using industry-standard EDA tools.
- Analyze system-level requirements and contribute to architectural decisions for neural network-based NFC signal processing.
- Stay current with emerging trends in machine learning, digital design, and RF technologies to drive innovation.
- Document design specifications, test plans, and verification results.
- Support silicon bring-up, debugging, and performance tuning activities.
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field.
- Background in digital design and RTL coding (VHDL, Verilog, or SystemVerilog).
- Basic knowledge of neural network architectures and machine learning algorithms, especially applied to signal processing.
- Basic knowledge of simulation and verification tools (ModelSim, Questa, Synopsys VCS, etc.).
- Solid understanding of fixed-point arithmetic, quantization, and hardware optimization techniques.
- Ability to work collaboratively in a multidisciplinary team.
- Familiarity with machine learning frameworks (TensorFlow, PyTorch) and model quantization techniques.
- Knowledge of ASIC design flow and constraints related to RF front-end integration.
- Experience with MATLAB or Python for algorithm development and verification.
- Opportunity to work on cutting-edge NFC technologies.
- Collaborative environment fostering innovation and professional growth.
- Access to advanced tools and resources for digital design and verification.
- Career development and training opportunities in emerging fields.
- Time reserved for pursuing PhD studies and compiling the doctoral thesis.
At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.
To discover more, visit st.com/careers.
Key Skills
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