À propos de ce poste Systems Engineer- Systems Studies chez GE Vernova
GE Vernova · Sur site · Noida
Job Description Summary
We are seeking a Systems Engineer with strong software and AI expertise to support the transformation of HVDC system design and studies through advanced digital technologies.This role combines power systems engineering with AI/ML and automation to enhance engineering productivity, enable large-scale simulation workflows, and improve system design decision-making.
The candidate will act as a technical bridge between traditional HVDC studies and modern AI/ML-driven approaches, ensuring that digital solutions are grounded in core engineering principles.
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
Relocation Assistance Provided: Yes
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