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 atwww.analog.comand onLinkedInandTwitter (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. Role Summary We are building a pioneering organization focused on advancing the next generation of Edge AI compute and intelligent sensors. We are seeking an Intern AI Researcher to contribute to our exploration and breakthroughs on EdgeAI model compression, optimization, and promote new model architectures to enable high efficiency and low latency with memory constraints in edge compute. Key Responsibilities • Explore new AI model architectures to run optimally on an edge compute with memory constraints. • Drive breakthroughs by converting ANN models (such as CNNs and Transformers) to those that operate efficiently with reduced memory using paradigms like SNN, SSM, sparsity, or RNN • Support proof of concept advancing model retraining, optimization, and compression Ideal Profile • PhD Intern in electrical engineering, computer engineering, computer science, or a related field. • Deep understanding in AI model architecture, ANN/SNN/SSM/Sparsity • Vast knowledge in Edge AI model Compression, Optimization, and Compilation • Proficient with multiple frameworks, including Snntorch, PyTorch, TVM, TensorFlow, CUDA, C/C++, and Python • Familiar with analog compute, in-memory compute, sparse compute, and neuromorphic systems. • Strong analytical mindset with the ability to balance performance, power, and memory tradeoffs. • Experience with the physical world, including vision, 3D point clouds, tactile, audio - Advantage 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. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/Cooperative Required Travel: No The expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.