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Grid Insights Architect

Posted 12 days 22 hours ago by Jobtailor

Permanent

Full Time

Other

Cork, Ireland

Job Description

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

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)