Come join Analog Devices (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. 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) . Position Overview: Analog Devices Advanced Physical Technology Group (APT) is seeking a System Architect for High Power Applications to drive innovation in next-generation high-power FETs and systems for the rapidly growing data center and energy power market. This role focuses on developing power system designs, application circuits and system modules utilizing Gallium Nitride (GaN) and Silicon Carbide (SiC) power devices. We are looking for a highly experienced engineer with a strong background in GaN and SiC based power electronics and 15 years of relevant industry experience in data center, energy, or similar high-performance infrastructure applications. Key Responsibilities: Develop and optimize application circuits for high-voltage, high-power converters using GaN and SiC switches. Design and evaluate demo boards and reference designs for new power products. Perform rigorous product evaluations and testing to ensure performance and reliability. Create design tools, simulation models, and circuit blocks to support internal and customer design efforts. Contribute to technical documentation, white papers, and application notes. Deliver presentations and technical training for internal teams and customers. Collaborate with design, systems, marketing, and applications engineering teams to bring differentiated power solutions to market. Required Skills and Experience: MSEE or Ph.D. in power electronics or related electrical engineering field. 10 years of industry experience in high-voltage GaN and SiC FET product design and applications, specifically for data center and energy high-performance power systems. Strong background in switching power supply design, analog circuits, and power conversion topologies (DC/DC and AC/DC). Deep knowledge of power electronics systems, driver and digital controller design. Hands-on expertise with lab instrumentation for high-power testing. Strong technical writing and communication skills, including experience with application notes and customer support. Ability to work collaboratively in a cross-functional, multidisciplinary engineering team. Preferred Qualifications: Competitive compensation, benefits, and career growth opportunities 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: Graduate Job Required Travel: Yes, 10% of the time The expected wage range for a new hire into this position is $148,500 to $222,750. 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.

• Design and build scalable full‑stack and automation applications using modern frameworks (React, Angular, Node.js, Python) with a focus on performance, security, and reliability • Develop and operationalize AI/ML models to enhance network performance, predict issues, and detect anomalies before they impact operations • Create intelligent chatbots and conversational AI solutions (OpenAI, Azure AI, Dialogflow) to automate network support, incident resolution, and knowledge retrieval • Lead network automation and data engineering efforts by integrating APIs, orchestrating workflows (Ansible, Terraform, Cisco NSO), and transforming telemetry data into actionable insights • Enable end‑to‑end DevOps and cross‑functional collaboration by implementing CI/CD pipelines, containerizing applications (Docker, Kubernetes), and partnering across Network, Cloud, AI, and Security teams to drive innovation

• Lead the technical architecture and engineering strategy for integrating sophisticated AI into high-stakes Healthcare Information Systems (HIS). • Architect the robust MLOps pipelines and cloud infrastructure required to move models from experimental notebooks into mission-critical clinical environments. • Design and implementation of end-to-end ML lifecycles, focusing on automated CI/CD pipelines, model versioning (MLflow/DVC), and reproducible experimentation. • Architect high-performance serving layers for both LLMs and classical models, ensuring low-latency and high-availability in a secure healthcare cloud environment. • Build the underlying infrastructure for agent-based reasoning systems, ensuring these

• Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Client customer solutions • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems