At a Glance
- Tasks: Lead the design of advanced algorithms for power system monitoring and grid analytics.
- Company: Join a global semiconductor leader driving innovation in energy solutions.
- Benefits: Competitive salary, career growth, and the chance to make a global impact.
- Other info: Collaborative environment with opportunities for mentorship and leadership growth.
- Why this job: Shape the future of sustainable energy with cutting-edge technology and real-world applications.
- Qualifications: Ph.D. in relevant field and 6+ years of experience in algorithm development.
The predicted salary is between 60000 - 87100 £ per year.
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.
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‑bachelor's 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.
