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Intern - Robotics Computer Vision

Airbus

Software and Technology Jobs

Intern - Robotics Computer Vision

full-timePosted: Dec 16, 2025

Job Description

Job Description:

We are looking for a highly skilled and experienced Computer Vision Engineer to join our dynamic team in developing advanced perception systems for robotic applications within the aircraft manufacturing industry. The ideal candidate will have a strong background in developing optimized computer vision algorithms.

Key Responsibilities:

  • Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.

  • Create efficient and real-time convolutional neural network (CNN) models.

  • Utilize deep learning frameworks such as TensorFlow, Caffe, Pytorch for AI model development and OpenCV, eigen,LAPACK, GMTL for the image processing.

  • Engage in rapid prototyping using Python, coupled with coding and debugging skills in C++.

  • Lead and manage a multidisciplinary team, ensuring effective collaboration and clear communication of technical concepts to management and team members.

Qualifications:

  • Solid foundation in image processing, neural networks, CNNs, and vision transformer architectures.

  • Expertise in the entire deep learning lifecycle, including data preparation, model engineering, evaluation, deployment, monitoring, and maintenance.

  • Experience in developing algorithms for 2D/3D sensors.

  • Proficiency with Deep Learning libraries and algorithms (TensorFlow & Keras, PyTorch, FastAI, U-Net, YOLO >= 5, Mask-R CNN, SAM).

  • Experience with AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, Kubernetes.

  • Experience in model quantization, pruning, and knowledge distillation is beneficial.

  • Experience with TensorRT, Deepstream, OpenVino, and TRITON is a plus.

  • Understanding of sensor interfaces and calibration techniques is advantageous.

  • Knowledge of Kalman filters, particle filters, clustering techniques is a plus.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus India Private Limited

Employment Type:

Permanent

-------

Experience Level:

Professional

Job Family:

Manufacturing Engineering <JF-MA-ME>

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Locations

  • Bangalore Area,

Salary

Estimated Salary Rangemedium confidence

300,000 - 600,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

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Airbus logo

Intern - Robotics Computer Vision

Airbus

Software and Technology Jobs

Intern - Robotics Computer Vision

full-timePosted: Dec 16, 2025

Job Description

Job Description:

We are looking for a highly skilled and experienced Computer Vision Engineer to join our dynamic team in developing advanced perception systems for robotic applications within the aircraft manufacturing industry. The ideal candidate will have a strong background in developing optimized computer vision algorithms.

Key Responsibilities:

  • Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.

  • Create efficient and real-time convolutional neural network (CNN) models.

  • Utilize deep learning frameworks such as TensorFlow, Caffe, Pytorch for AI model development and OpenCV, eigen,LAPACK, GMTL for the image processing.

  • Engage in rapid prototyping using Python, coupled with coding and debugging skills in C++.

  • Lead and manage a multidisciplinary team, ensuring effective collaboration and clear communication of technical concepts to management and team members.

Qualifications:

  • Solid foundation in image processing, neural networks, CNNs, and vision transformer architectures.

  • Expertise in the entire deep learning lifecycle, including data preparation, model engineering, evaluation, deployment, monitoring, and maintenance.

  • Experience in developing algorithms for 2D/3D sensors.

  • Proficiency with Deep Learning libraries and algorithms (TensorFlow & Keras, PyTorch, FastAI, U-Net, YOLO >= 5, Mask-R CNN, SAM).

  • Experience with AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, Kubernetes.

  • Experience in model quantization, pruning, and knowledge distillation is beneficial.

  • Experience with TensorRT, Deepstream, OpenVino, and TRITON is a plus.

  • Understanding of sensor interfaces and calibration techniques is advantageous.

  • Knowledge of Kalman filters, particle filters, clustering techniques is a plus.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus India Private Limited

Employment Type:

Permanent

-------

Experience Level:

Professional

Job Family:

Manufacturing Engineering <JF-MA-ME>

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Locations

  • Bangalore Area,

Salary

Estimated Salary Rangemedium confidence

300,000 - 600,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Target Your Resume for "Intern - Robotics Computer Vision" , Airbus

Get personalized recommendations to optimize your resume specifically for Intern - Robotics Computer Vision. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Intern - Robotics Computer Vision" , Airbus

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AerospaceAviationAerospaceAviationEngineering

Answer 10 quick questions to check your fit for Intern - Robotics Computer Vision @ Airbus.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.