Job Description Summary

Job Description

Essential Responsibilities

• Perform HVDC system studies including:
  • Insulation coordination, network interaction, reliability, and losses analysis
• Support system design activities including main scheme design and equipment specification.
• EMT and RMS simulations using tools such as PSCAD, PSS/E, DigSilent, MATLAB, RTDS
• Develop and maintain Python-based automated workflows for:
  • Large-scale, multi-scenario batch simulations (especially in PSCAD)
  • Study execution, result processing, and reporting
• Identify opportunities to optimize system study tools and methodologies using:
  • AI/ML-based techniques
  • Data-driven approaches to improve efficiency and accuracy
• Develop and implement:
• AI solutions like LLM and RAG-based and AI agents.
• Bridge the gap between engineering simulation tools and AI/ML frameworks through robust software integration.
• Serve as a technical interface between HVDC engineering and data science/software teams, ensuring AI-driven insights align with fundamental power system principles.

Desired Additional Skills

• Experience in HVDC / FACTS power system studies or design
• Strong understanding of Python applications in power system tools and simulations
• Familiarity with AI/ML frameworks.
• Knowledge of LLMs, RAG architecture, and agent-based systems
• Experience with simulation automation and engineering data pipelines
• Exposure to tools such as PSCAD, PSS/E, DigSilent, MATLAB, RTDS
• Familiarity with cloud platforms (e.g., Azure) and modern software architecture
• Interest in digital engineering, automation, and innovation in power systems

Qualifications / Requirements

• Bachelor’s or Master’s degree in:
  • Electrical Engineering (Power Systems preferred), OR
  • Power systems engineering with exposure to Computer Science / AI / Data Science.
• 3–5 years of experience in:
  • HVDC / FACTS system studies or power system engineering, OR
  • AI/ML applications in engineering, simulation, or scientific domains
• Strong programming skills in Python, with application to: Simulation automation, Data processing and Engineering workflows.
• Understanding of Power system fundamentals and simulation techniques and AI/ML methodologies and their application to engineering problems.
• Strong analytical, problem-solving, and communication skills
• Ability to work in cross-functional and global engineering teams

Additional Information