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Systems Engineer- Systems Studies

Yesterday Noida, India

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:

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  • 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

    Client-provided location(s): Noida, India
    Job ID: GE_power-1733152280
    Employment Type: FULL_TIME
    Posted: 2026-07-07T18:31:36

    Perks and Benefits

    • Health and Wellness

      • Health Insurance
      • Health Reimbursement Account
      • Dental Insurance
      • Vision Insurance
      • Life Insurance
      • Short-Term Disability
      • Long-Term Disability
      • FSA
      • FSA With Employer Contribution
      • HSA
      • HSA With Employer Contribution
      • Fitness Subsidies
      • On-Site Gym
      • Mental Health Benefits
    • Parental Benefits

      • Adoption Assistance Program
      • Family Support Resources
      • Birth Parent or Maternity Leave
      • Adoption Leave
    • Work Flexibility

      • Flexible Work Hours
      • Remote Work Opportunities
      • Hybrid Work Opportunities
    • Office Life and Perks

      • Commuter Benefits Program
      • Casual Dress
      • On-Site Cafeteria
      • Holiday Events
    • Vacation and Time Off

      • Unlimited Paid Time Off
      • Paid Holidays
      • Personal/Sick Days
      • Summer Fridays
    • Financial and Retirement

      • 401(K)
      • Stock Purchase Program
      • Performance Bonus
      • Relocation Assistance
      • Financial Counseling
      • Profit Sharing
      • 401(K) With Company Matching
    • Professional Development

      • Tuition Reimbursement
      • Access to Online Courses
      • Lunch and Learns
      • Leadership Training Program
      • Internship Program
      • Associate or Rotational Training Program
    • Diversity and Inclusion

      • Diversity, Equity, and Inclusion Program
      • Employee Resource Groups (ERG)
      • Unconscious Bias Training

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