221 Spacecraft Development jobs in India

ERETS, a London-based company, launched it's Indian Division at coimbatore, India, specializing in manufacturing cube sats and satellite constellations, ERETS LABS represents a significant step in advancing space technology.

Erets envisions a future where space is accessible to all and is actively seeking candidates with Bachelor/Master/Ph.D. degrees in Aerospace/Space Engineering. Experience in satellite design is a valuable asset as we embark on ground-breaking missions, shaping the next era of space exploration. Your knowledge in all aspects of Aerospace engineering will be of great value in bringing ERETS’s young and dynamic team to the next level. Join us at ERETS, where innovation meets opportunity,

Position: Aerospace Engineer - Entry Level

Responsibilities

• Bachelors/Master’s degree Aerospace Engineering or Space Engineering
• Strong understanding of Satellite design and Manufacturing
• Strong experience in conducting detailed finite element analysis (FEA) of the selected design using software such as ANSYS, NASTRAN, or Abaqus.
• Knowledge / Experience in any specialization including Propulsion, Controls, Structures, and Aerospace Manufacturing will be highly considered.
• Strong engineering intuition with an ability to recognize factors that are driving the performance of a Satellite.

What's included?

• Best-in-class research methodologies to learn.
• Work with a Multicultural team of Engineers and Scientists.
• You will Build the skills to thrive.

Selection Process

The selection process will be conducted in three including an aptitude test, an HR interview, Technical Interview with a problem-oriented assessment. The assessment will include a problem statement concerning the technical knowledge of the systems. The selection process is based on your qualification.

ERETS, a London-based company, launched it's Indian Division at coimbatore, India, specializing in manufacturing cube sats and satellite constellations, ERETS LABS represents a significant step in advancing space technology.

 Erets envisions a future where space is accessible to all and is actively seeking candidates with Bachelor/Master/Ph.D. degrees in Aerospace/Space Engineering. Experience in satellite design is a valuable asset as we embark on ground-breaking missions, shaping the next era of space exploration. Your knowledge in all aspects of Aerospace engineering will be of great value in bringing ERETS’s young and dynamic team to the next level. Join us at ERETS, where innovation meets opportunity,

Position: Aerospace Engineer - Entry Level

Responsibilities

• Bachelors/Master’s degree Aerospace Engineering or Space Engineering
• Strong understanding of Satellite design and Manufacturing
• Strong experience in conducting detailed finite element analysis (FEA) of the selected design using software such as ANSYS, NASTRAN, or Abaqus.
• Knowledge / Experience in any specialization including Propulsion, Controls, Structures, and Aerospace Manufacturing will be highly considered.
• Strong engineering intuition with an ability to recognize factors that are driving the performance of a Satellite.

What's included?

• Best-in-class research methodologies to learn.
• Work with a Multicultural team of Engineers and Scientists.
• You will Build the skills to thrive.

Selection Process

The selection process will be conducted in three including an aptitude test, an HR interview, Technical Interview with a problem-oriented assessment. The assessment will include a problem statement concerning the technical knowledge of the systems. The selection process is based on your qualification.

ERETS, a London-based company, launched it's Indian Division at coimbatore, India, specializing in manufacturing cube sats and satellite constellations, ERETS LABS represents a significant step in advancing space technology.

 Erets envisions a future where space is accessible to all and is actively seeking candidates with Bachelor/Master/Ph.D. degrees in Aerospace/Space Engineering. Experience in satellite design is a valuable asset as we embark on ground-breaking missions, shaping the next era of space exploration. Your knowledge in all aspects of Aerospace engineering will be of great value in bringing ERETS’s young and dynamic team to the next level. Join us at ERETS, where innovation meets opportunity,

Position: Aerospace Engineer - Entry Level

Responsibilities

• Bachelors/Master’s degree Aerospace Engineering or Space Engineering
• Strong understanding of Satellite design and Manufacturing
• Strong experience in conducting detailed finite element analysis (FEA) of the selected design using software such as ANSYS, NASTRAN, or Abaqus.
• Knowledge / Experience in any specialization including Propulsion, Controls, Structures, and Aerospace Manufacturing will be highly considered.
• Strong engineering intuition with an ability to recognize factors that are driving the performance of a Satellite.

What's included?

• Best-in-class research methodologies to learn.
• Work with a Multicultural team of Engineers and Scientists.
• You will Build the skills to thrive.

Selection Process

The selection process will be conducted in three including an aptitude test, an HR interview, Technical Interview with a problem-oriented assessment. The assessment will include a problem statement concerning the technical knowledge of the systems. The selection process is based on your qualification.

HawkEye 360 is seeking a Senior Space Systems Engineer to join the Systems Engineering Team . As part of this team, you will play a key role in the design, integration, and support of all HawkEye 360 space platforms. This includes spacecraft systems engineering, constellation planning, end-to-end system architecture, and supporting business development initiatives. You’ll also collaborate closely with the Space, Operations, and Product teams. HawkEye 360’s satellite clusters and ground segments provide the platform RF data collection that is essential for HawkEye’s core business.

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.

About GalaxEye

GalaxEye is at the forefront of satellite technology innovation, transforming how intelligence is extracted from satellite imagery. We’re building cutting-edge solutions that deliver actionable insights from space-based data.

Position Overview

We are seeking an exceptional AI Engineer to productize our cutting-edge satellite intelligence technologies and create exceptional products that deliver intelligence from satellite images. This role combines technical excellence with client-facing responsibilities in secure, air-gapped environments.

Key Responsibilities

• Set up and manage data pipelines to create comprehensive training datasets for continuous training and continuous deployment of our AI Models
• Fine tuning of our AI models & Computer vision models according to the clients requirements
• Setting an active MLOPS pipeline in the air-gapped infrastructure on the client side to continuously train and Fine tune our AI models
• Rigorously testing and benchmarking the fine tuned AI models as well as the Image Processing algorithms to achieve the pre-set QRs and maintain detailed QR (Quality Report) documentation
• Continuously Integrating the fine tuned AI models with the product backend
• Drive continuous improvement through proactive problem-solving and initiative-taking

Required Qualifications

• Entrepreneurial Mindset: Hustling attitude, proactive approach, and capability to take independent initiatives
• Communication: Excellent verbal and written communication skills with a disciplined work ethic
• Technical Experience: 3+ years of experience in training, deploying & maintaining AI models using PyTorch/TensorFlow or any other equivalent tech
• Data Engineering: Experience in Creating Data acquisition, annotation & versioning pipelines to continuously prepare data for training and improving AI models
• Deployment: Experience with deployment in secure and restricted environments
• Deep Learning: Solid grasp in understanding Deep learning Concepts for computer vision problems
• Preferred Qualifications
• Experience building applications with geospatial data
• Previous work in satellite technology or remote sensing domains
• Experience with air-gapped system deployments

What We Offer

• pportunity to work with cutting-edge satellite intelligence technology

• D rect impact on product development and client success

• C llaborative work environment with opportunities for continuous learning and growth

• C ance to work on challenging technical problems in the space technology sector