Edge AI\ML Scientist

Qualifications

• Solid understanding of core machine learning models and concepts, including CNNs, RNNs, Transformers, continual learning, and on-device retraining
• Hands-on experience with major ML frameworks such as PyTorch or TensorFlow, and deployment tools like TensorFlow Lite, TVM, or ONNX
• Strong analytical mindset with the ability to balance performance, power, and memory tradeoffs
• Bonus: Exposure to neuromorphic computing, analog compute, or embedded systems development
• Strong collaboration and documentation skills, with a proactive attitude toward working in a fast-paced, cross-disciplinary environment
• Big Advantage: Experience with SNN framework or converting ANN to SNN, advanced optimization, and compilation techniques 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
• 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

Benefits

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors
• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors
• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits

Responsibilities

• In this role, you will help prototype and evaluate AI models for on-device adaptation, and assess new techniques for optimization, distillation, and compilation
• Your work will directly contribute to real-world applications in wearables, audio, robotics, and other streaming sensor use cases
• Evaluate trade-offs in model accuracy, memory footprint, compute cost, and latency across different edge platforms
• Collaborate with Compute architecture team to align model structure with analog or neuromorphic constraints, including weight updates and limited precision
• Assist in benchmarking emerging compute platforms (startups and internal solutions) on real-world µAI tasks
• Evaluate new optimization, distillation, and compilation approaches for edge deployment
• Document results clearly to inform architectural decisions and guide startup engagement strategies

Full Description

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 theworld. 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). Posting title – Edge AI\ML Scientist Location: Boston, MA Team: Frontier AI Initiative Job Description / Role Summary We are building a pioneering organization focused on advancing the next generation of Edge AI compute and intelligent sensors. We seek an Edge AI/ML Scientist to developing and testing lightweight learning models on state-of-the-art edge compute platforms. In this role, you will help prototype and evaluate AI models for on-device adaptation, and assess new techniques for optimization, distillation, and compilation. Your work will directly contribute to real-world applications in wearables, audio, robotics, and other streaming sensor use cases.   Key Responsibilities Develop lightweight learning models suitable for constrained edge devices operating at ultra-low power with limited memory. Evaluate trade-offs in model accuracy, memory footprint, compute cost, and latency across different edge platforms. Collaborate with Compute architecture team to align model structure with analog or neuromorphic constraints, including weight updates and limited precision. Assist in benchmarking emerging compute platforms (startups and internal solutions) on real-world µAI tasks. Evaluate new optimization, distillation, and compilation approaches for edge deployment. Document results clearly to inform architectural decisions and guide startup engagement

strategies.   Ideal Profile Master’s or PhD in Artificial Intelligence, Electrical Engineering, Computer Science, or a related field with a strong focus on machine learning or embedded AI. Solid understanding of core machine learning models and concepts, including CNNs, RNNs, Transformers, continual learning, and on-device retraining. Hands-on experience with major ML frameworks such as PyTorch or TensorFlow, and deployment tools like TensorFlow Lite, TVM, or ONNX.Strong analytical mindset with the ability to balance performance, power, and memory tradeoffs. Bonus: Exposure to neuromorphic computing, analog compute, or embedded systems development. Strong collaboration and documentation skills, with a proactive attitude toward working in a fast-paced, cross-disciplinary environment. Big Advantage: Experience with SNN framework or converting ANN to SNN, advanced optimization, and compilation techniques 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: Experienced Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days The expected wage range for a new hire into this position is $108,800 to $149,600. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits. 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). Come join ADI – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare. ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.