INTERNSHIP DETAILS

Signal Processing Intern

CompanyGE Vernova
LocationBengaluru
Work ModeOn Site
PostedJune 1, 2026
Internship Information
Core Responsibilities
The intern will collect and preprocess RF sensor and image datasets to develop AI models for non-destructive evaluation. Responsibilities include simulating DSP algorithms and optimizing code in Python, MATLAB, or C++ for industrial inspection technologies.
Internship Type
full time
Company Size
67309
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world. It is made up of three businesses -- Power, Electrification, and Wind -- with focus on accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come. GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have the energy to change the world.
About the Role

Job Description Summary

GE Vernova Advanced Research has one opening for a Signal Processing Intern. The selected intern would have an opportunity to work on cutting edge inspection technologies alongside World Class Researchers. The internship duration can be for a duration of 3-11 months.

Job Description

GE Vernova Advanced Research has one opening for a Signal Processing Intern. The selected intern would have an opportunity to work on cutting edge inspection technologies alongside World Class Researchers. The internship duration can be for a duration of 3-11 months.

The focus of the role is to learn and contribute to key cutting-edge NDE technologies for Industrial Inspections for all of GE Vernova’s products. The selected intern would be working on

Data collection, preprocessing, developing AI models (e.g., neural networks), and optimizing code in Python or MATLAB for Non-destructive evaluation (NDE)

Data Handling: Collect, clean, and annotate RF sensor, or image datasets, often mixing signals to create training sets.

Algorithm Development: simulate digital signal processing (DSP) algorithms, including filtering, Fourier and wavelet analysis.


AI/ML Integration: Develop and train Machine Learning or Deep Learning models (e.g., CNNs, RNNs) for signal classification, denoising, or feature extraction.

Implementation & Testing: optimize code in C/C++, Python, CUDA, or MATLAB.


Required Qualifications & Skills
Academics: The candidate should be currently pursuing a Bachelor’s/ Master’s/Doctoral degree in Electrical Engineering, Computer Science, Physics, or related fields.

Programming: Strong skills in Python (withlibraries like NumPy, PyTorch, TensorFlow) and/or MATLAB.

Technical Knowledge: Foundational understanding of digital signal processing (sampling, filtering, transforms) and machine learning principles.

  • Demonstrated ability to quickly learn new, unfamiliar product knowledge, technology areas
  • Excellent oral and written communication skills
  • Collaboration: Work with interdisciplinary teams to test systems, analyze performance and document findings. 

Additional Information

Relocation Assistance Provided: Yes

Key Skills
Signal ProcessingPythonMATLABMachine LearningDeep LearningDigital Signal ProcessingC/C++CUDAPyTorchTensorFlowNumPyFourier AnalysisWavelet AnalysisCNNRNNData Preprocessing
Categories
EngineeringScience & ResearchTechnologyEnergyData & Analytics
Benefits
Relocation Assistance