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Siemens Gamesa Hiring 2026: Intern – Software Development and Testing | Bangalore (Job ID 303119)

Siemens Bangalore Intern Fresher Not Disclosed Posted 4 hours ago

Company: Siemens Gamesa Renewable Power Private Limited (Siemens Energy / Omterra)
Organization: Wind Power > Technology (Loads and Controls Engineering Department)
Job Title: Intern – Software Development and Testing
Job ID / Requisition: 303119
Employment Type: Full-Time Internship (Student / Intern / Apprentice)
Target Candidates: B.Tech (3rd/4th Year) or M.Tech (1st Year) Students
Location: Bangalore (Bengaluru), Karnataka, India

Company & Team Overview

Siemens Gamesa Renewable Energy (transitioning to Omterra alongside Siemens Energy) is a global leader in wind technology and turbine manufacturing. The company develops advanced wind power infrastructure to accelerate the global clean energy transition.

This position sits within the Loads and Controls Engineering Department in Bangalore. The team develops control algorithms, simulation tools, automated reporting systems, and controller validation software for next-generation onshore and offshore wind turbines in a global engineering setup.

Key Responsibilities & Daily Operations

  • Automated Workflow Programming: Design and program automation scripts and controller validation workflows using MATLAB and Python.
  • Software Testing & Debugging: Perform functional testing, validation, and debugging of engineering tools and simulation software to ensure reliability across turbine control models.
  • CI/CD Pipeline Integration: Assist in deploying and improving automated build, test, and CI/CD procedures using tools such as GitLab, Jenkins, and JFrog Artifactory.
  • Technical Documentation: Prepare controller certification documents, technical user guides, and development notes using LaTeX and Markdown.
  • Data Analysis & Reporting: Generate automated data analysis reports, technical presentations, and controller performance summaries for global engineering reviews.

Minimum Eligibility & Qualification Criteria

Academic Background

  • Currently pursuing a Bachelor’s degree (B.Tech / B.E., 3rd or 4th year) or Master’s degree (M.Tech / M.E., 1st year) in Control & Automation, Electrical, Electronics, Mechanical, or related engineering disciplines.

Experience & Essential Technical Skills

  • Prior Experience: No prior full-time corporate experience required; academic or personal projects in MATLAB and Python are highly valued.
  • Programming Languages: Proficiency in Python and MATLAB, with working knowledge of LaTeX for technical document generation.
  • Software Engineering Principles: Sound understanding of Object-Oriented Programming (OOP) and software testing methodologies.
  • Version Control & DevOps Tools: Hands-on experience with version control systems (Git, Mercurial), agile platforms (Jira), and continuous integration pipelines (GitLab, Jenkins, Artifactory).
  • Core Competencies: Analytical problem-solving, structured debugging, and effective written and verbal English communication skills.

Compensation & Internship Perks

  • Estimated Internship Stipend: ₹30,000 to ₹45,000 per month, depending on degree level (B.Tech vs. M.Tech) and academic performance.
  • Key Benefits:
    • Direct hands-on experience in wind turbine control systems and green energy technology.
    • Exposure to global engineering workflows across Europe and Asia.
    • Certificate of Internship with potential pathways to Graduate Engineer Trainee (GET) or Pre-Placement Offers (PPO).

Selection Workflow & Interview Steps

1. Profile Shortlisting & Academic Screening (Job ID: 303119)
   (Verification of engineering discipline, graduation year, & MATLAB/Python project coursework)
   ↓
2. Online Technical & Coding Assessment
   (Questions on Python/MATLAB logic, basic OOP concepts, Git commands, & analytical reasoning)
   ↓
3. Technical Interview Round 1 (Control Systems & Programming)
   (Discussion on academic projects, MATLAB/Simulink models, Python automation, & OOPs concepts)
   ↓
4. Technical Interview Round 2 (Software Testing, Git & CI/CD)
   (Questions on version control, software testing lifecycle, LaTeX formatting, & Jenkins/GitLab workflows)
   ↓
5. HR & Culture Fit Discussion
   (Evaluation of communication skills, eagerness to learn wind energy systems, & internship duration availability)
   ↓
6. Offer Rollout & Onboarding (Bangalore Campus)

Essential Technical Topics to Prepare

  • MATLAB & Python for Automation: Data processing libraries (pandas, numpy, matplotlib), file handling, automated script execution, and function optimization.
  • Control & Automation Basics: PID controllers, state-space modeling, signal processing, and controller validation techniques.
  • Software Tools & Version Control: Fundamental Git commands (clone, branch, commit, merge, rebase), CI/CD pipeline stages, and LaTeX document formatting.

Core Resume Keywords for ATS Optimization

  • Languages & Frameworks: MATLAB, Python, LaTeX, Object-Oriented Programming (OOP), Data Analysis
  • Tools & Version Control: Git, Mercurial, Jira, GitLab CI/CD, Jenkins, JFrog Artifactory
  • Domains & Systems: Loads and Controls Engineering, Control & Automation, Wind Turbine Controllers, Controller Validation, Software Testing
  • Documentation & Operations: Technical Documentation, Controller Certification, Automated Workflows, Continuous Integration, Problem Solving

Frequently Asked Questions (FAQs)

1. What is the Job ID for this internship opening?

The official Siemens Gamesa job requisition ID is 303119.

2. Which academic batches are eligible to apply?

Students currently in their 3rd or 4th year of B.Tech or 1st year of M.Tech in Control & Automation, Electrical, Electronics, Mechanical, or related engineering streams are eligible.

3. Is prior professional experience needed for this role?

No prior corporate experience is required. Academic projects, personal repositories, and strong programming skills in MATLAB and Python are the primary evaluation criteria.

4. What is the primary focus of the Loads and Controls team?

The team develops advanced control algorithms, automated testing frameworks, and simulation tools to optimize wind turbine performance, structural load management, and energy delivery.