GE Vernova is hiring Engineering Intern | 25k/month

About the Role

GE Vernova’s Grid Automation R&D team is seeking highly motivated engineering interns to work on cutting-edge technologies shaping the future of electric power grids. Interns will be part of a global energy transition, contributing to control, protection, automation, and monitoring systems for the smart grid. This opportunity offers exposure to technologies like AI/ML, cloud-native software, multi-core SoCs, 5G, and modern software practices in a collaborative, lean-agile development environment.

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Roles and Responsibilities

• Take ownership of assigned engineering tasks related to control and automation for grid modernization.
• Develop tools, applications, or processes that enhance existing systems using innovative thinking.
• Collaborate with stakeholders, customers, and cross-functional teams to communicate progress and solutions.
• Work on a self-contained, intern-led project that supports skill development and practical impact.
• Apply modern programming techniques and algorithms in real-world energy infrastructure applications.

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Eligibility Criteria

• Education Requirement:
  Final-year students of B.Tech or M.Tech/M.E in:
  • Computer Science
  • Power Systems
  • Instrumentation
  • Electronics
  • Communications
    (from IITs, NITs, BITS, or other reputed institutes)
• Eligible Batch:
  Final-year students graduating in 2025

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Required Skills and Qualifications

• Strong academic background with demonstrated excellence
• High technical aptitude and problem-solving skills
• Proficiency in programming languages such as C, C++, Java, Python, and scripting languages (Windows & Linux)
• Understanding of AI/ML concepts including supervised, unsupervised, reinforcement learning, and deep learning
• Familiarity with AI/ML workflows and MLOps principles
• Experience with databases (relational & non-relational)
• Ability to debug, troubleshoot, and root cause effectively
• Good understanding of web, desktop, and cloud application development
• Awareness of microservices architecture and tools
• Knowledge of virtualization tools: VMs, containers, hypervisors, Docker
• Cybersecurity principles and secure application development
• Hands-on experience with lab tools such as MATLAB, LabVIEW, protocol analyzers, and relay test kits
• Strong communication and documentation skills
• Ability to learn quickly and grasp both detailed and broad technical scopes
• Team-oriented with good interpersonal skills
• Understanding of power system fundamentals (preferred)

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Desirable Skills and Experience

• Prior internships, certifications, or project experience in power systems and software development
• Experience implementing ML models in energy applications (predictive maintenance, load forecasting, etc.)
• Knowledge of ML frameworks like TensorFlow, PyTorch, Keras
• Experience deploying on Linux-based virtual systems and containers
• Familiarity with industrial automation tools (e.g., PLCs)
• Understanding of network protocols such as TCP/IP
• Knowledge of industrial/substation automation protocols (Modbus, DNP3, IEC 60870, IEC 61850)
• Volunteering or extracurricular project experience

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Technical Skills

C, C++, Java, Python, Shell Scripting, Windows, Linux, AI, ML, Deep Learning, MLOps, TensorFlow, PyTorch, Keras, SQL, NoSQL, Microservices, Docker, Hypervisors, Virtual Machines, Cybersecurity, MATLAB, LabVIEW, PLC Programming, TCP/IP, Modbus, DNP3, IEC 60870, IEC 61850