Grid Insights Architect

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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible.

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The Energy Business Unit develops cutting‑edge sensing and algorithmic solutions for modern electrical infrastructure. We focus on transforming raw data from distribution grid assets into actionable intelligence to enable a more reliable, efficient, and resilient power system, accelerating global goals of decarbonization and low‑cost energy for everyone.

We are seeking a highly experienced algorithm engineer and leader (Principal Engineer) to help shape and execute on next‑generation grid intelligence solutions. This is a hands‑on technical leadership role with a clear pathway toward broader leadership responsibilities. The ideal candidate combines deep knowledge of power systems with advanced expertise in signal processing and machine learning, has experience across an entire algorithm development and deployment pipeline, from first idea and proof‑of‑concept through to deployment across complex distributed systems, and is an excellent communicator capable of bridging the gaps between stakeholders at multiple organization levels and of varied backgrounds.

• Own and drive the design and development of advanced algorithms for power system monitoring and grid analytics (e.g., transformers, asset health, and condition monitoring)
• Develop signal processing and machine learning techniques to extract actionable insights from real‑world sensor data.
• Architect and deploy solutions across the Edge‑to‑Cloud stack, including implementation on resource‑constrained and embedded platforms
• Lead end‑to‑end solution development, from modelling and simulation through to validation and production deployment.
• Influence product and technology strategy through deep domain expertise and technical leadership.
• Collaborate with cross‑functional teams (hardware, firmware, data, applications) to translate innovations into scalable products
• Engage with grid equipment OEMS, utilities, industry partners, and stakeholders to ensure solutions address real‑world challenges
• Mentor engineers and contribute to building a high‑performance team, with opportunity to grow into broader leadership roles

• Strong background in Power Systems Engineering, including modelling of grid assets (e.g., transformers, distribution systems)
• Deep expertise in Signal Processing and Machine Learning, with proven application to real‑world data
• Experience deploying solutions across Edge and Cloud architectures, particularly in constrained or embedded environments
• Excellent communication skills and ability to influence and reason across technical and non‑technical stakeholders and requirements
• Proven ability to translate models and algorithms into production systems
• Strong programming and modelling experience (e.g., Python, MATLAB/Simulink, or embedded environments)
• Experience working with sensor data and physical system modelling (digital twins)

• A Ph.D. degree in Electrical Engineering, Computer Science, Power Systems, Mathematics, Physics, or a related field (equivalent experience will be accepted)
• A minimum of 6 years’ experience post‑PhD (12 years post‑bachelor's degree) with development and deployment experience of practical algorithms in production systems
• Leadership skills, as proven by a record of increasing responsibility in technical leadership and management
• Communication skills, as proven by a record of technical talks and influence in a technical field
• Innovation skills, as proven by a record of patents and/or technical publications demonstrating novelty and the ability to think creatively.

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