Grid Insights Architect

Location: City of Edinburgh

## Grid Insights Architect Apply locations:
United Kingdom, Edinburgh, SC, Freer:
Ireland, Cork:
Ireland, Dublin:
Ireland, Limerick time type:
Full time posted on:
Posted Todayjob requisition :
R262852
** 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
** 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.
** Role Overview
** 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.
** What You’ll Do**
* ** 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
** What You’ll Bring
*** 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)
**** Required Experience
*** 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 bachelors degree) with development and deployment experience of practical algorithms in production systems,
* Leadership skills, as proven by a record of…