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System Modeling Engineer

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Job Description - System Modeling Engineer

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.
  • 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.
  • 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).
  • 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.
  • 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.


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!


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