Position Summary: 

We are seeking a highly skilled professional with deep expertise in substation monitoring equipment and substation asset lifecycle management. The ideal candidate will leverage this domain knowledge to support design and development of AI-based software tools that enhance asset performance, predictive maintenance, and operational efficiency.

A Snapshot of your Day

How You’ll Make an Impact (responsibilities of role)

• Understand the operation, working principles, and health cycle of substation assets (transformers, circuit breakers, sensors, etc.).
• Identify common challenges in asset health monitoring and lifecycle management.
• Analyze data from substation monitoring systems to extract actionable insights.
• Work extensively with transformer monitoring systems, including:
• Dissolved Gas Analysis (DGA) for insulation health and fault detection.
• Partial Discharge (PD) monitoring for insulation integrity.
• Temperature, moisture, and bushing monitoring solutions.
• Stay updated with CIGRE working groups, technical brochures, and papers to incorporate global best practices and emerging trends in asset health management.

• Collaborate with data scientists and software engineers to support design of AI-driven solutions for predictive maintenance and anomaly detection.
• Define requirements for algorithms that utilize sensor data, operational parameters, and historical performance trends.
• Support validation of AI models against real-world substation scenarios to ensure accuracy and reliability.

• Work closely with product teams to support integration of AI tools into existing monitoring platforms.
• Optimize solutions for scalability, security, and compliance with industry standards.

• Act as a bridge between domain experts and AI experts & development teams.
• Provide technical guidance to internal teams and external customers on asset health management strategies.

What You Bring (required qualification and skill sets)

• Bachelor’s or master’s degree in electrical engineering or power system engineering or related field.
• 10+ years of experience in substation condition monitoring solution development.
• Strong knowledge of substation assets (transformers, switchgear, sensors) and their operational lifecycle.
• Hands-on experience with substation monitoring equipment, including DGA analyzers, partial discharge monitors, and thermal monitoring systems.
• Familiarity with predictive maintenance concepts, condition monitoring, and reliability engineering.
• Good to have: understanding of AI/ML fundamentals, data preprocessing, and model validation (experience in Python or similar is a plus).
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience in power systems engineering or electrical asset management.
• Exposure to IoT-based monitoring solutions and cloud platforms.
• Knowledge of industry standards (IEC, IEEE) for substation equipment.
• Familiarity with CIGRE technical brochures, working groups, and recommendations for asset management and monitoring.