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Grid Insights Architect

Job in City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: 1110 AD UK
Full Time position
Listed on 2026-07-07
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: City of Edinburgh

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges physical and digital worlds to enable breakthroughs at the Intelligent Edge. The Energy Business Unit develops cutting‑edge sensing and algorithmic solutions for modern electrical infrastructure, transforming raw data from distribution grid assets into actionable intelligence.

Role Overview

We are seeking a highly experienced algorithm engineer and leader (Principal Engineer) to help shape and execute next‑generation grid intelligence solutions. This is a hands‑on technical leadership role with a clear pathway toward broader leadership responsibilities.

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.
  • 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‑Ph.D. (12 years post‑bachelors) 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.
Preferred Experience
  • Condition monitoring or predictive maintenance in energy systems.
  • Industrial IoT, distributed sensing, or grid analytics platforms.
  • Demonstrated experience scaling prototypes into production deployments.
  • Demonstrated early leadership experience or strong motivation to grow into leadership.
  • Availability to travel to customers and partners (10% of time).
Why Join ADI

Join ADI’s Energy Business Unit and contribute to building intelligent systems that enable the transition to a more resilient and sustainable power grid. You will work at the intersection of advanced sensing, algorithms, and real‑world infrastructure, delivering solutions with tangible global impact.

For positions requiring access to technical data, Analog Devices may have to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Applicants for this position – except U.S. Citizens, U.S. Permanent Residents, and protected individuals – 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 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.

Job Type: Experienced. Required Travel:
Yes, 10% of time. Shift Type: 1st Shift/Days.

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