The Role
Designs and maintains digital models of spacecraft and aerospace systems for trade studies, simulations, performance analysis, verification, and operational decisions. Responsibilities include subsystem modeling, telemetry-based calibration, scenario and Monte Carlo simulations, automation, database and tool integration, requirements verification, documentation, and anomaly support. The role collaborates with systems engineering, software, mission design, and operations teams while communicating technical findings through visualizations, reports, and presentations.
Summary Generated by Built In
We are looking for a System Modeling Engineer to design, build, and maintain models of complex space/aerospace systems. You will work closely with systems engineering, mission design, software, and operations teams to create models that support design trade studies, performance analysis, simulations, and operational decision-making.
You’ll be responsible for translating real-world subsystem behavior (e.g. power, thermal, ADCS, communications, propulsion, payload) into digital models that are accurate, maintainable, and well-integrated with our existing tool-chain and data sources.
Key Responsibilities:
- System & Subsystem Modeling
- Develop end-to-end models of spacecraft / aerospace system behavior (power budgets, data budgets, thermal, ADCS, COMMS, mission timelines, etc.).
- Build and maintain parametric models for key subsystems to support trade-offs and architecture decisions.
- Integrate telemetry / flight data to calibrate and validate models.
- Develop end-to-end models of spacecraft / aerospace system behavior (power budgets, data budgets, thermal, ADCS, COMMS, mission timelines, etc.).
- Simulation & Analysis
- Set up and run simulations to evaluate performance under different scenarios (nominal, degraded, and failure modes).
- Support mission analysis (coverage, visibility, link margins, duty cycles, consumables usage).
- Perform sensitivity, Monte Carlo, and worst-case analyses to understand margins and risks.
- Set up and run simulations to evaluate performance under different scenarios (nominal, degraded, and failure modes).
- Tooling & Automation
- Develop reusable modelling components, scripts, and tools in environments such as Python, MATLAB/Simulink, Modelica, or similar.
- Connect models with databases and tools (e.g. telemetry DBs, digital twin / monitoring systems, configuration management).
- Help define interfaces so models can be used by other teams (APIs, config files, parameter sets).
- Develop reusable modelling components, scripts, and tools in environments such as Python, MATLAB/Simulink, Modelica, or similar.
- Requirements & Verification Support
- Translate system-level requirements into model assumptions, parameters, and test cases.
- Use modelling results to demonstrate requirement compliance and support verification activities.
- Contribute to design reviews (SRR, PDR, CDR, ORR, etc.) with clear visualizations and model-based evidence.
- Translate system-level requirements into model assumptions, parameters, and test cases.
- Cross-Functional Collaboration
- Work closely with systems engineers, software engineers, operations, and mission planners to ensure models reflect reality and are usable day-to-day.
- Document modelling approaches, assumptions, and limitations in a way that non-experts can understand.
- Provide modelling support during on-orbit operations and anomaly investigations.
- Work closely with systems engineers, software engineers, operations, and mission planners to ensure models reflect reality and are usable day-to-day.
Requirements
Required Qualifications:
- Bachelor’s or Master’s degree in Aerospace Engineering, Systems Engineering, Electrical/Mechanical Engineering, Applied Physics, or a related field.
- 1–3 years of experience in system modelling, simulation, or system analysis (space, aerospace, automotive, or similar complex systems).
- Strong proficiency in at least one modelling/simulation environment, e.g.:
- Python (NumPy, SciPy, pandas, PyMC, custom simulation frameworks)
- MATLAB / Simulink
- NVIDIA Omniverse
- Modelica or similar tools
- Solid understanding of systems engineering concepts: requirements, interfaces, margins, trade-off analysis, verification & validation.
- Experience working with real data: telemetry, lab test data, or flight/operational data.
- Ability to clearly communicate technical results through plots, reports, and presentations.
Preferred / Nice-to-Have:
- Experience with spacecraft systems (EPS, OBC, ADCS, COMMS, payload, propulsion, thermal).
- Experience building or contributing to a digital twin or model-based monitoring / alerting system.
- Familiarity with PostgreSQL or other relational databases and integrating models with live or historical telemetry.
- Knowledge of FastAPI, REST APIs, or microservice architectures for exposing model outputs.
- Experience with probabilistic modelling and uncertainty quantification.
- Familiarity with SysML or other model-based systems engineering (MBSE) tools.
- Experience working in an agile, cross-functional product or mission team.
Soft Skills:
- Strong problem-solving and critical thinking skills; comfortable dealing with incomplete or noisy data.
- Ability to work independently, but also collaborate closely with multidisciplinary teams.
- Clear written and verbal communication; able to explain complex models to non-modelling experts.
- Curious, detail-oriented, and comfortable iterating quickly based on feedback and real-world results.
Benefits
What We Offer:
- Competitive Compensation: A package that reflects your skills and experience
- Hands‑On Learning: Direct collaboration with our founding team on cutting‑edge projects
- Impactful Work: Play a central role in shaping India’s first miniaturized SAR+EO constellation
- Comprehensive Benefits: Medical, dental, and vision coverage for you and your family
- Innovative Culture: A dynamic, fast‑paced environment where fresh ideas are welcomed
- Ready to launch your career in space? Apply now and help us build the next generation of all‑weather Earth‑observation satellites!
Skills Required
- Bachelor's or Master's degree in Aerospace Engineering, Systems Engineering, Electrical Engineering, Mechanical Engineering, Applied Physics, or a related field
- 1-3 years of experience in system modeling, simulation, or system analysis
- Strong proficiency in at least one modeling or simulation environment, such as Python, MATLAB/Simulink, NVIDIA Omniverse, or Modelica
- Understanding of systems engineering concepts, including requirements, interfaces, margins, trade-off analysis, verification, and validation
- Experience working with telemetry, laboratory test data, flight data, or operational data
- Ability to communicate technical results through plots, reports, and presentations
- Experience with spacecraft systems such as EPS, OBC, ADCS, communications, payload, propulsion, or thermal systems
- Experience building or contributing to a digital twin or model-based monitoring and alerting system
- Familiarity with PostgreSQL or other relational databases and live or historical telemetry integration
- Knowledge of FastAPI, REST APIs, or microservice architectures
- Experience with probabilistic modeling and uncertainty quantification
- Familiarity with SysML or other model-based systems engineering tools
- Experience working in an agile, cross-functional product or mission team
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The Company
What We Do
GalaxEye is an Indian space-tech startup developing advanced Earth-observation technologies. Its flagship Drishti Mission uses a multisensor imaging satellite combining optical and Synthetic Aperture Radar data to produce high-resolution imagery, including through cloud cover and at night. The company applies artificial intelligence, computer vision, and geospatial analysis to support governments, defense organizations, and industries with actionable insights.
