Grid Insights Architect

Analog Devices

Principal Engineer developing innovative algorithms for power system monitoring and grid analytics at ADI. Collaborating across teams to deliver scalable solutions in a key industry.

Posted 7/3/2026full-timeCork • 🇮🇪 IrelandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Power Systems Engineering, including advanced algorithm development for grid analytics and signal processing. Proven ability to lead cross-functional teams and mentor engineers while deploying solutions across Edge-to-Cloud architectures.

Highest-signal resume keywords

Ph.D. In Electrical EngineeringPower Systems EngineeringSignal ProcessingMachine LearningEdge-To-Cloud Architecture

ATS Keywords

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Hard Skills

Algorithm DevelopmentModelingSimulationProduction DeploymentSensor Data AnalysisPhysical System ModelingProgramming (Python, MATLAB/Simulink)Technical PublicationsPatentsInnovation

Soft Skills

LeadershipCommunicationMentoringCollaborationInfluence

Industry Keywords

Grid AnalyticsAsset Health MonitoringCondition MonitoringDigital TwinsResource-Constrained EnvironmentsEmbedded PlatformsCross-Functional TeamsOEM EngagementUtilitiesStakeholder Management

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.
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
Strong programming and modelling experience (e.g. Python, MATLAB/Simulink, or embedded environments)
Experience working with sensor data and physical system modelling (digital twins)

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible working hours
Paid time off
Professional development opportunities