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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:
    • 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.

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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-340431704
Employment Type: FULL_TIME
Posted: 2026-07-07T18:31:56

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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