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!