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Research, design, and develop circuits and test systems solutions for analog, digital, and mixed-signal products. Collaborate with cross-functional engineering teams and continuously learn in a team environment.

Looking for a Senior Technical Leader to architect and lead the development of an Edge AI platform at Analog Devices. Responsibilities include designing scalable AI platforms, leading technical development, collaborating with cross-functional teams, and providing technical leadership. Qualifications require 8+ years of experience, expertise in product development, cloud architectures, MLOps/DataOps, containerization, cloud platforms, and Agile/Scrum processes. Bachelor's degree in Computer Science or related field is required.

Seeking an experienced Full Stack Engineer to build and maintain frontend and backend for AI/ML applications in the Edge Platform team. Responsibilities include designing scalable backend services, maintaining REST APIs, collaborating with ML/MLOps Engineers, and staying updated with the latest web and data technologies. Qualifications include 7+ years of experience in web application design, microservices, cloud platforms, and proficiency in Python.

Contribute to developing complex AI/ML models, software, and solutions for customers and business units. Participate in all phases of AI solution development process and create reusable code in machine learning frameworks. Requires Master's degree or equivalent experience and 5+ years of industry experience in machine learning.

The Senior AI Engineer at Analog Devices, Inc. will develop and productize AI for future products and solutions, ranging from low-power applications to generative AI for electronics. Responsibilities include developing AI/ML models, software, and solutions, staying updated on latest machine learning tools, and creating reusable code. Qualifications include a Master's degree, 2+ years of industry experience in machine learning, proficiency in Python, and experience with training custom AI models using PyTorch.

Lead product AI engineering efforts by developing complex AI/ML models and software for future products and solutions. Provide technical leadership throughout all phases of AI solution development process. Mentor junior staff and upskill them to AI/ML engineering best practices.

Lead a team in new product evaluations, development, and ensuring high quality and reliability of product release. Responsibilities include working with Design, Test Engineering, Reliability, Quality, Failure Analysis, and more. Cradle to grave ownership of products.