223 Spacecraft jobs in India

HawkEye 360 is currently seeking Sr. Spacecraft Electrical Engineer to join the Space Team . The mission of the Space Team is to design, build, test, launch, operate and maintain a constellation of small commercial satellites. This group is also responsible for building and operating a segment of groundstations to provide communications with these satellites. Satellite clusters and ground segments provide the platform for RF data collection that is essential to HawkEye’s core business.

As a Spacecraft Electrical AIT Engineer , you will lead the integration and testing of spacecraft electrical systems , ensuring end-to-end system readiness for launch. This is a hands-on engineering role focused on the validation of complex, highly integrated electronic systems used in space missions.

• Create and manage all test documentation including test matrices, procedures, scripts, and final reports
• Oversee electrical AIT (Assembly, Integration & Test) processes in collaboration with Quality Control (QC)
• Define and prepare Electrical Ground Support Equipment (EGSE) requirements
• Support and participate in environmental tests (TVAC, Vibration, Acoustic, EMI/EMC) at the satellite level
• Manage non-conformance and anomaly investigations , proposing corrective actions
• Support pre-launch activities and launch campaigns (typically 5–8 weeks)
• Maintain compliance with ISO 14644-1 cleanroom standards
• Ensure all activities are completed within defined timelines and resources

• Proficient with electrical tools and test aids (e.g., multimeters, oscilloscopes, breakout boxes )
• Strong understanding of electrical signal characterization
• Experience working with EGSE and spacecraft connector mating/demating
• Capable of writing test procedures, non-conformance reports , and automation scripts
• Working proficiency in English , both written and spoken

• Bachelor's or Master's in Electrical Engineering, Aerospace Engineering , or related field
• 3+ years of hands-on experience with spacecraft or high-reliability systems
• Experience with test script development , preferably in Python or similar scripting languages
• Familiarity with space system standards and launch campaign operations
• Demonstrated interdisciplinary and problem-solving skills in fast-paced environments

• Work on real-world space missions with impact
• Mentorship and collaboration with experienced aerospace professionals
• Be part of a growth-focused and innovative team culture
• Competitive perks and an environment built for learning and fun

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.

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.

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.