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Analog Devices

Grid Insights Architect

Posted 3 Days Ago
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In-Office
Dublin, IRL
Senior level
In-Office
Dublin, IRL
Senior level
Lead design and deployment of advanced signal-processing and machine-learning algorithms for power system monitoring and grid analytics. Architect Edge-to-Cloud solutions for embedded, resource-constrained systems, guide end-to-end development from modeling through production, influence product strategy, collaborate with cross-functional teams and external partners, and mentor engineers toward scalable grid intelligence products.
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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. Learn more at www.analog.com and on LinkedIn and X.

          

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 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, 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.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days

Analog Devices Dublin, Dublin, IRL Office

Beaver House, Beech Hill Office Campus, Belfield, Clonskeagh, Dublin, Dublin, Ireland, D04 Y8X5

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