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Grid Insights Architect
Analog DevicesPrincipal Engineer developing innovative algorithms for power system monitoring and grid analytics at ADI. Collaborating across teams to deliver scalable solutions in a key industry.
Tech Stack
Tools & technologiesCloudPython
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Algorithm DevelopmentModelingSimulationProduction DeploymentSensor Data AnalysisPhysical System ModelingProgramming (Python, MATLAB/Simulink)Technical PublicationsPatentsInnovation
Soft Skills
LeadershipCommunicationMentoringCollaborationInfluence