102 Imaging Systems jobs in India

Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads.

Seeking an Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors, utilizing advanced algorithms to drive real-time analysis.

About KaleidEO

KaleidEO, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India. As an 'analytics-first' payload innovator, we specialize in building next-gen, high-resolution, multispectral payloads with edge computing and wide coverage capabilities.

Rooted in SatSure’s legacy of building applications across sectors like Utilities, Agriculture, Aviation, BFSI, and Climate Action, we also provide end-to-end EO solutions, from payload development and launch to mission operations and data analytics.

At KaleidEO, we are shaping the future of Earth Observation and putting Indian space tech on the global map. If you thrive on challenges and are passionate about pushing the boundaries of image processing, this is your calling!

Roles and Responsibilities

• To assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.

• To assist in designing and implementing efficient image processing pipelines for satellite optical sensor data.

• To apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection).

• To assist in developing solutions for cloud-based processing to handle large-scale satellite data efficiently.

• To ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.

• To work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems.

• To participate in quality assurance practices to ensure high-quality image products.
• To maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.

Qualifications:

• Bachelors or Master’s degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.
• Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data.

Must-Have:

• Proficiency in image processing and computer vision algorithms.
• Strong programming skills in Python, with experience using libraries like OpenCV, GDAL.
• Understanding of satellite optical sensors and their processing challenges.

Good to Have:

• Experience with machine learning techniques for image analysis.
• Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS).

Benefits

• Medical Health Cover for you and your family including unlimited online doctor consultations.
• We believe family comes first. That’s why we offer Maternity, Paternity, Marriage and Bereavement Leave, so you can be there when it matters most.
• We ensure every member of the team gets an opportunity to participate at international events and conferences.
• Access to mental health experts for you and your family.
• Dedicated allowances for learning and skill development.
• Twice a year appraisal.

Interview Process:

• Coding Round
• Introductory call
• Panel Interview rounds ( 2 rounds)
• Culture Round / HR round

No of positions: 2

Expected Month of Joining: May 2025

Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads.

Seeking an Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors, utilizing advanced algorithms to drive real-time analysis.

About KaleidEO

KaleidEO, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India. As an 'analytics-first' payload innovator, we specialize in building next-gen, high-resolution, multispectral payloads with edge computing and wide coverage capabilities.

Rooted in SatSure’s legacy of building applications across sectors like Utilities, Agriculture, Aviation, BFSI, and Climate Action, we also provide end-to-end EO solutions, from payload development and launch to mission operations and data analytics.

At KaleidEO, we are shaping the future of Earth Observation and putting Indian space tech on the global map. If you thrive on challenges and are passionate about pushing the boundaries of image processing, this is your calling!

Roles and Responsibilities

• To assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.

• To assist in designing and implementing efficient image processing pipelines for satellite optical sensor data.

• To apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection).

• To assist in developing solutions for cloud-based processing to handle large-scale satellite data efficiently.

• To ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.

• To work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems.

• To participate in quality assurance practices to ensure high-quality image products.
• To maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.

Qualifications:

• Bachelors or Master’s degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.
• Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data.

Must-Have:

• Proficiency in image processing and computer vision algorithms.
• Strong programming skills in Python, with experience using libraries like OpenCV, GDAL.
• Understanding of satellite optical sensors and their processing challenges.

Good to Have:

• Experience with machine learning techniques for image analysis.
• Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS).

Benefits

• Medical Health Cover for you and your family including unlimited online doctor consultations.
• We believe family comes first. That’s why we offer Maternity, Paternity, Marriage and Bereavement Leave, so you can be there when it matters most.
• We ensure every member of the team gets an opportunity to participate at international events and conferences.
• Access to mental health experts for you and your family.
• Dedicated allowances for learning and skill development.
• Twice a year appraisal.

Interview Process:

• Coding Round
• Introductory call
• Panel Interview rounds ( 2 rounds)
• Culture Round / HR round

No of positions: 2

Expected Month of Joining: May 2025

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Introduction: A Career at HARMAN Digital Transformation Solutions DTS)

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN DTS, you solve challenges by creating innovative solutions.

What You Will Do

· B.Tech/M.Tech in Electronics/Computer Science 

· At least 4 years work experience (B.Tech/MTech) in Computer Vision/Image Processing/Signal Processing/Machine Learning

· Strong fundamentals in Signal Processing/Computer Vision, Machine Learning, Deep Learning

· Strong proficiency in python , C++ , Linux

· Fluency in data structures, algorithms

· Knowledge of embedded realization of ML models is a plus

· Prior experience with Deep learning frameworks such as Tensorflow/Pytorch

What You Need

· Develop novel algorithms for solving challenging 3D computer vision & Augmented Reality problems for enhancing Mobile Camera user experience

· Develop multi-view geometry related solutions , strong knowledge & debugging skill in camera ISP 

· Use innovative ideas to continuously improve the solution to take them to the end-user

· Extensive quality evaluation and regression testing of the developed solution to meet strict quality guidelines

· Actively participate in design discussions to enhance end-to-end development of the solution

· Follow strict agile practices with regular code reviews, etc

What Makes You Eligible

You Belong Here

HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

About HARMAN: Where Innovation Unleashes Next-Level Technology

Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Quest Global is an organization at the forefront of innovation and one of the world’s fastest growing engineering services firms with deep domain knowledge and recognized expertise in the top OEMs across seven industries. We are a twenty-five-year-old company on a journey to becoming a centenary one, driven by aspiration, hunger and humility.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible, possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers.

As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:
 

Responsibilities:

Seeking a skilled Principal Satellite Image Processing Engineer to spearhead the development of a high-performance image processing pipeline for satellite optical sensors, utilizing advanced algorithms and leading a team of junior and mid-level engineers for precise, real-time analysis.

About KaleidEO

KaleidEO is investing to launch its fleet of earth observation satellites.SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.

The synergy of KaleidEO and SatSure aims to bring a new dimension to the earth observation industry by being the only full-stack company from India, to have satellites in space to deliver insights on the ground.

Roles and Responsibilities:

• Pipeline Architecture & Development: Lead the design, development, and implementation of an efficient, scalable image processing pipeline for satellite optical sensor data, from raw data ingestion to analysis-ready outputs.
• Algorithm Design : Develop and optimize algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.
• Data Preprocessing: Oversee the development of robust preprocessing techniques to handle satellite imagery (noise reduction, calibration, sensor alignment, etc.) for optimal analysis accuracy.
• Advanced Image Analysis: Apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection).
• Integration with Cloud and On-Premise/On-Edge Systems : Develop and implement solutions for cloud-based processing (e.g., AWS, Google Cloud) or hybrid environments to handle large-scale satellite data efficiently.
• Automation & Scalability: Ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.
• Team Leadership: Provide technical leadership and mentorship to a team of engineers and researchers, guiding them through the design and development of components within the processing pipeline.
• Cross-functional Collaboration: Work closely with other teams, including data scientists, software engineers, and GIS specialists, to integrate image processing pipelines into broader systems and applications.
• Quality Control: Ensure the pipeline delivers high-quality, accurate image products by implementing quality assurance practices and validating outputs against ground truth or reference data.
• Research & Innovation: Stay up-to-date on the latest advances in optical remote sensing, image processing technologies, and machine learning applications, and incorporate innovations into pipeline development.
• Documentation & Reporting: Maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.

Qualifications:

• Advanced degree (Master’s or Ph.D.) in Remote Sensing, Geospatial Science, Electrical Engineering, Computer Science, or a related field.
• 8+ years of experience in satellite image processing, remote sensing, or related fields, focusing on optical sensor data.

Must-Have:

• Experience designing and optimizing image processing pipelines for satellite imagery, particularly optical sensors (e.g., multispectral, hyperspectral).
• Proficiency in image processing and computer vision algorithms (e.g., image correction, enhancement, feature extraction).
• Expertise in programming skills like Python, C++, or MATLAB, with experience using image processing libraries (e.g., OpenCV, GDAL, scikit-image).
• In-depth understanding of satellite optical sensors (e.g., Landsat, Sentinel-2, WorldView) and the processing challenges associated with their data.
• Experience with cloud-based processing platforms (e.g., AWS, Google Cloud, Microsoft Azure) and distributed computing for large-scale data.
• Experience in leading engineering teams and managing complex technical projects.
• Familiarity with geospatial data formats and tools (e.g., GeoTIFF, HDF, QGIS, ArcGIS).
• Understanding of machine learning/deep learning techniques for image analysis (e.g., segmentation, classification, object detection).

Good to Have:

• Expertise in atmospheric correction models and radiometric calibration techniques.
• Experience working with hyperspectral data and advanced spectral analysis techniques.
• Prior experience with Synthetic Aperture Radar (SAR) processing or integrating optical and radar data.
• Familiarity with international satellite data sources (e.g., MODIS, Pleiades, SPOT) and commercial data providers.
• Contributions to open-source remote sensing or image processing projects.
• Knowledge of high-performance computing (HPC) environments or GPU-accelerated computing for image processing tasks.

Benefits:

• Medical Health Cover for you and your family including unlimited online doctor consultations.
• Access to mental health experts for you and your family.
• Dedicated allowances for learning and skill development.
• Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves.
• Twice a year appraisal.

Interview Process:

• Introductory call
• Assessment
• Presentation
• Interview rounds (ideally up to 4-5 rounds)
• Culture Round / HR round

No of positions: 1

Expected Month of Joining: as soon as possible.

Location - Bangalore

Seeking a skilled Principal Satellite Image Processing Engineer to spearhead the development of a high-performance image processing pipeline for satellite optical sensors, utilizing advanced algorithms and leading a team of junior and mid-level engineers for precise, real-time analysis.

About KaleidEO

KaleidEO is investing to launch its fleet of earth observation satellites.SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.

The synergy of KaleidEO and SatSure aims to bring a new dimension to the earth observation industry by being the only full-stack company from India, to have satellites in space to deliver insights on the ground.

Roles and Responsibilities:

• Pipeline Architecture & Development: Lead the design, development, and implementation of an efficient, scalable image processing pipeline for satellite optical sensor data, from raw data ingestion to analysis-ready outputs.
• Algorithm Design : Develop and optimize algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.
• Data Preprocessing: Oversee the development of robust preprocessing techniques to handle satellite imagery (noise reduction, calibration, sensor alignment, etc.) for optimal analysis accuracy.
• Advanced Image Analysis: Apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection).
• Integration with Cloud and On-Premise/On-Edge Systems : Develop and implement solutions for cloud-based processing (e.g., AWS, Google Cloud) or hybrid environments to handle large-scale satellite data efficiently.
• Automation & Scalability: Ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.
• Team Leadership: Provide technical leadership and mentorship to a team of engineers and researchers, guiding them through the design and development of components within the processing pipeline.
• Cross-functional Collaboration: Work closely with other teams, including data scientists, software engineers, and GIS specialists, to integrate image processing pipelines into broader systems and applications.
• Quality Control: Ensure the pipeline delivers high-quality, accurate image products by implementing quality assurance practices and validating outputs against ground truth or reference data.
• Research & Innovation: Stay up-to-date on the latest advances in optical remote sensing, image processing technologies, and machine learning applications, and incorporate innovations into pipeline development.
• Documentation & Reporting: Maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.

Qualifications:

• Advanced degree (Master’s or Ph.D.) in Remote Sensing, Geospatial Science, Electrical Engineering, Computer Science, or a related field.
• 8+ years of experience in satellite image processing, remote sensing, or related fields, focusing on optical sensor data.

Must-Have:

• Experience designing and optimizing image processing pipelines for satellite imagery, particularly optical sensors (e.g., multispectral, hyperspectral).
• Proficiency in image processing and computer vision algorithms (e.g., image correction, enhancement, feature extraction).
• Expertise in programming skills like Python, C++, or MATLAB, with experience using image processing libraries (e.g., OpenCV, GDAL, scikit-image).
• In-depth understanding of satellite optical sensors (e.g., Landsat, Sentinel-2, WorldView) and the processing challenges associated with their data.
• Experience with cloud-based processing platforms (e.g., AWS, Google Cloud, Microsoft Azure) and distributed computing for large-scale data.
• Experience in leading engineering teams and managing complex technical projects.
• Familiarity with geospatial data formats and tools (e.g., GeoTIFF, HDF, QGIS, ArcGIS).
• Understanding of machine learning/deep learning techniques for image analysis (e.g., segmentation, classification, object detection).

Good to Have:

• Expertise in atmospheric correction models and radiometric calibration techniques.
• Experience working with hyperspectral data and advanced spectral analysis techniques.
• Prior experience with Synthetic Aperture Radar (SAR) processing or integrating optical and radar data.
• Familiarity with international satellite data sources (e.g., MODIS, Pleiades, SPOT) and commercial data providers.
• Contributions to open-source remote sensing or image processing projects.
• Knowledge of high-performance computing (HPC) environments or GPU-accelerated computing for image processing tasks.

Benefits:

• Medical Health Cover for you and your family including unlimited online doctor consultations.
• Access to mental health experts for you and your family.
• Dedicated allowances for learning and skill development.
• Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves.
• Twice a year appraisal.

Interview Process:

• Introductory call
• Assessment
• Presentation
• Interview rounds (ideally up to 4-5 rounds)
• Culture Round / HR round

No of positions: 1

Expected Month of Joining: as soon as possible.

We are looking for Image Processing and Computer Vision Engineer for one of my international client.

Experience: 7years to 9years

Location: Bangalore (WFO in Hybrid)

• Bachelors or Maters degree in Computer Science, Computer Engineering, relevant technical field, or equivalent with 3 to 4 years of experience in algorithms, coding, and software development life cycle specifically in the field of image processing, reconstruction, computer vision,
• Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
• Experience in Linux kernel internals
• Experience in cross platform porting of algorithms from windows to Linux and vice versa
• Modify the code and algorithms that were originally written on windows platform to suit Linux platform, and derive the same accuracy/output on both platforms
• Experience in one or more of the following areas: Image processing, Deep Learning, Computer Vision, Machine Learning, or artificial intelligence

Preferred Qualifications:

• Experience in C++, Python, basic knowledge of Image processing
• Experience with distributed systems or on-device algorithm development
• Independent Problem solving, excellent coding and debugging skills

We are looking for Image Processing and Computer Vision Engineer for one of my international client.

Experience: 7years to 9years

Location: Bangalore (WFO in Hybrid)

• Bachelors or Maters degree in Computer Science, Computer Engineering, relevant technical field, or equivalent with 3 to 4 years of experience in algorithms, coding, and software development life cycle specifically in the field of image processing, reconstruction, computer vision,
• Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
• Experience in Linux kernel internals
• Experience in cross platform porting of algorithms from windows to Linux and vice versa
• Modify the code and algorithms that were originally written on windows platform to suit Linux platform, and derive the same accuracy/output on both platforms
• Experience in one or more of the following areas: Image processing, Deep Learning, Computer Vision, Machine Learning, or artificial intelligence

Preferred Qualifications:

• Experience in C++, Python, basic knowledge of Image processing
• Experience with distributed systems or on-device algorithm development
• Independent Problem solving, excellent coding and debugging skills