989 Spacecraft jobs in India

• Define and manage system requirements for satellite missions.
• Lead the integration of various spacecraft subsystems.
• Perform system-level analysis, including performance, reliability, and trade-off studies.
• Develop and validate system models and simulations.
• Collaborate with subsystem engineers to resolve design issues.
• Oversee system testing, verification, and validation activities.
• Support launch operations and anomaly resolution.
• Contribute to the development of system architectures and roadmaps.
• Ensure compliance with aerospace standards and regulations.

• Master's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field.
• Minimum of 5 years of experience in aerospace systems engineering, with a focus on satellite design.
• In-depth knowledge of spacecraft subsystems (e.g., propulsion, GNC, power, comms).
• Proficiency with systems engineering tools and methodologies (e.g., DOORS, SysML).
• Experience with simulation software (e.g., MATLAB/Simulink, STK).
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills for remote collaboration.
• Ability to work independently and manage tasks effectively in a distributed team.
• Familiarity with space mission operations is a plus.
• Demonstrated ability to work on complex, multi-disciplinary projects.

• Leading the systems engineering team throughout the entire satellite development lifecycle.
• Defining system requirements, architecture, and interfaces for new satellite missions.
• Overseeing the design, development, and integration of satellite subsystems, including power, propulsion, attitude control, and communication.
• Conducting system-level trade studies and performance analyses.
• Developing and executing comprehensive verification and validation plans.
• Managing risks and developing mitigation strategies for critical systems.
• Collaborating with payload developers and ground segment teams.
• Ensuring compliance with industry standards and regulatory requirements.
• Mentoring and guiding junior engineers, fostering a culture of technical excellence.
• Preparing and presenting technical documentation, reviews, and reports to management and clients.
• Contributing to strategic planning and proposal efforts for future space missions.
• Liaising with manufacturing, test, and launch providers.

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.

GalaxEye is building groundbreaking AI-first products that transform satellite data into actionable intelligence. We’re creating the world’s most advanced multi-sensor geospatial intelligence platform, fusing data from space, AI, and high performance computing. Join us as we engineer the digital backbone of this vision.

We're seeking a Sr. Backend Engineer to bridge the gap between our AI/CV algorithm teams and Satellite Intelligence Platform. You’ll play a key role in building the infrastructure that takes cutting-edge computer vision models from research to production — designing workflows, packaging modules, and orchestrating them on GPU clusters.

Key Responsibilities

• Collaborate with AI/CV teams to define interfaces and packaging standards for algorithms.
• Optimize the algorithm's performance and implementation for deployment (On GPU Cluster)
• Develop Python workflow scripts to link multiple algorithm modules into an orchestrated job pipeline.
• Dockerize and integrate algorithms with a Slurm-based workflow orchestrator for distributed execution.
• Test, validate, and benchmark algorithms before production rollout.
• Establish DevOps hygiene and maintain CI/CD pipelines across AI/CV and platform teams.
• Handle versioning, tagging, and publishing of algorithm packages with proper documentation and release notes.
  

Required Skills

• Solid in Python scripting, and scientific computing frameworks like Pytorch, Numpy, OpenCV, Scipy etc.
• Solid foundation in mathematics and capability to understand and optimize computing logic
• Experience with Docker, CI/CD (GitHub Actions, GitLab, Jenkins).
• Familiarity with Slurm, GPU clusters, and workflow orchestration.
• Exposure to AI/ML model packaging, Python environments (Conda, PyPI), and cloud/on-prem infra.

• Design, develop, and integrate satellite communication systems for aviation applications.
• Define system requirements and develop system architectures.
• Perform simulations, analyses, and performance testing of aviation communication systems.
• Collaborate remotely with cross-functional engineering teams.
• Troubleshoot and resolve complex technical issues related to satellite communications.
• Ensure compliance with aviation industry standards and regulations.
• Contribute to the development of innovative solutions for airborne connectivity.
• Document system designs, test procedures, and results.
• Stay current with advancements in satellite technology and aviation communications.

• Bachelor's or Master's degree in Aerospace Engineering, Electrical Engineering, or a related field.
• Minimum of 5 years of experience in aviation systems engineering, with a specialization in satellite communications.
• Proven experience with RF engineering, network protocols, and airborne communication systems.
• Proficiency in relevant simulation and modeling tools (e.g., MATLAB/Simulink, STK).
• Strong understanding of aviation regulations and standards.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and effectively in a remote team environment.
• Experience with data link technologies and cybersecurity in aviation is a plus.

We are looking for Software Development Engineer with 1-2 Yr for our esteemed client for Hyderabad/Ahmedabad.

Key Skills : Python /C++, Java, JavaScript, Multi-threading, concurrency, Version control, satellite data processing

This is an immediate requirement. Please apply if you can join within 20 days or close to 20 days.

Roles and Responsibilities:

·   Lead role in developing & maintaining data processing software for generating data products for radar and other remote sensing payloads on satellite systems.

·    Responsibilities include integrating software modules, handle database interfaces, optimizing performance using multi-threading programming, building graphical user interfaces (GUIs) & Web framework, scheduling & job control, deploying software in various platforms, testing the software and maintaining the software throughout the lifecycle.

·    Optimization of Software & Scheduling using multi-threaded programming for near real time Software Execution & Development of Schedulers.

·    Development of computational software & GUIs using contemporary programming languages

·    Organize and manage the changes and revisions to code. Use a version control tool.

Required Skills, Qualifications (Technical Competency):

·    Required to have Bachelors/Masters/Ph.D  Computer Science & Engineering/Information Technology/Software Engineering/etc.

·    1-2 years Hands on experience in developing & maintaining large software systems.

·    Expertise in Programming languages for Computations & building GUIs and hands-on experience in Python /C++, Java, JavaScript, etc.

·    Familiarity in use of databases e.g. SQL/Posttgre SQL/Oracle

·    Understanding of multi-threading, concurrency, parallelism and synchronization for optimization of execution times.

·    Understanding of Coding standards, Code Reviews, Source Code Management, build processes, testing & operation.

·    Expertise in Software Engineering Concepts including Version control.

·    Preferably having experience on Linux OS & Windows OS

·    Familiarity in use of Software modelling tools e.g. Rational Rose is an added advantage.

About the Customer:

You will be working with a trusted global engineering and lifecycle services partner to the world’s most recognized companies in the Aerospace industries. It specializes in small satellite systems developing low-earth-orbit satellite constellation applications and satellite subsystems including battery systems, reaction assemblies, payload support units, etc.

• Lead the design, analysis, and development of aerospace systems and components.
• Oversee aerodynamic analysis, structural integrity assessments, and thermal management.
• Guide the selection and integration of propulsion systems and control systems.
• Ensure compliance with industry standards, regulations, and safety protocols.
• Mentor and guide junior aerospace engineers, fostering their professional development.
• Collaborate with cross-functional teams throughout the product lifecycle.
• Manage project timelines, budgets, and resource allocation.
• Conduct research on new technologies and methodologies to improve aerospace designs.
• Develop and present technical reports, specifications, and documentation.
• Troubleshoot and resolve complex engineering challenges.

• Master's or Ph.D. in Aerospace Engineering or a related field.
• Minimum of 7-10 years of experience in aerospace engineering.
• Proven experience in leading engineering teams and projects.
• Expertise in aerodynamic design, computational fluid dynamics (CFD), and structural analysis.
• Proficiency in aerospace simulation software (e.g., CATIA, SolidWorks, ANSYS, MATLAB/Simulink).
• Strong understanding of flight mechanics, control systems, and propulsion.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional leadership, communication, and interpersonal skills.
• Experience in a remote work environment is essential.
• Familiarity with relevant aerospace certifications and standards.

• Lead the design, development, and integration of aerospace systems and components.
• Oversee complex aerodynamic analyses and computational fluid dynamics (CFD) simulations.
• Manage structural analysis and stress testing of aircraft materials and structures.
• Develop and implement testing protocols and procedures for flight systems.
• Collaborate with cross-functional teams, including manufacturing, supply chain, and quality assurance.
• Provide technical guidance and mentorship to junior engineering staff.
• Ensure compliance with all aviation regulations and certification requirements (e.g., DGCA, EASA, FAA).
• Troubleshoot and resolve design and performance issues throughout the product lifecycle.
• Prepare detailed technical documentation, reports, and presentations for project stakeholders.
• Contribute to strategic planning and technology road mapping for future aviation advancements.
• Manage project timelines, budgets, and resources effectively.
• Conduct risk assessments and implement mitigation strategies for engineering projects.

• Master's or Ph.D. in Aerospace Engineering, Mechanical Engineering, or a related discipline.
• Minimum of 8 years of progressive experience in the aerospace industry.
• Proven expertise in aircraft design, aerodynamics, structural analysis, and propulsion systems.
• Proficiency in CAD/CAM software (e.g., CATIA, SolidWorks) and simulation tools (e.g., ANSYS, NASTRAN).
• Strong understanding of aerospace materials and manufacturing processes.
• Demonstrated leadership capabilities and experience managing engineering teams.
• Excellent problem-solving, analytical, and decision-making skills.
• Effective communication and interpersonal skills for seamless collaboration.
• Experience with hybrid work models and remote collaboration tools.
• Knowledge of aviation safety standards and certification processes.