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)