Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally?
About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X) .
At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.
ADI’s culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees.
At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.
Apply now for the opportunity to grow your career and help innovate ahead of what’s possible.
About the Role:
We are seeking a passionate and motivated Intern with a background in Electronics / Electrical Engineering and a strong interest in Machine Learning (ML) or Artificial Intelligence (AI) . You will work on projects that combine hardware and intelligent algorithms , contributing to research, data analysis, and prototype development.
Key Responsibilities:
Work on data collection, preprocessing, and annotation from electronic sensors or hardware setups.
Support hardware-in-the-loop testing for ML algorithms on microcontrollers, edge devices, or FPGA platforms.
Help integrate ML models into embedded systems
Collaborate with cross-functional teams to design experiments and validate models.
Document experimental results, algorithms, and workflows.
Required Skills and Qualifications:
Currently pursuing a Bachelor’s / Master’s in Electronics Engineering, Electrical Engineering, Computer Engineering, or a related field .
Basic understanding of Machine Learning / Deep Learning concepts .
Experience with Python and libraries such as NumPy, Pandas, TensorFlow, PyTorch , or Scikit-learn .
Knowledge of electronics fundamentals — circuits, sensors, microcontrollers (Arduino, Raspberry Pi, ESP32, etc.).
Familiarity with data acquisition systems and signal processing techniques .
Strong analytical and problem-solving skills.
Preferred / Nice-to-Have Skills:
Hands-on experience with embedded AI or Edge ML (TensorFlow Lite, TinyML , etc.).
Experience with MATLAB , LabVIEW , or other hardware interfacing tools.
Understanding of communication protocols (I2C, SPI, UART).
Exposure to computer vision , speech processing
What You’ll Gain:
Exposure to real-world applications of AI in electronics and embedded systems.
Mentorship from senior engineers and data scientists.
Experience with end-to-end ML deployment on hardware.
A chance to publish / contribute to innovative projects.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
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