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!