Space Simulation Engineer

Functional Focus: High-Performance Computing, Numerical Methods, and Physics Simulation Simulation Engine Development: Write high-performance C++ code for adaptive-step numerical integration of physical systems, handling multiple perturbation/force models. Numerical Accuracy & Stability: Implement quaternion-based rotational dynamics and coordinate frame transformations, ensuring zero memory leaks when integrating third-party C/C++ scientific libraries. Shared-Memory Optimization: Design cache-friendly memory structures and multi-threaded execution models that avoid race conditions and false sharing across compute cores. Parallel Compute Strategy: Evaluate and implement intra-job CPU parallelism strategies — serial, shared-memory (e.g. OpenMP), or message-passing (e.g. MPI) —appropriate to workload scale. State Estimation: Implement Kalman-filter-based state estimation that fuses multiple sensor measurements — prediction, innovation, Jacobian assembly, and correction. Requirements Mandatory: C++ (modern, 11/14/17+) Adaptive-step ODE/numerical integration, linear algebra Multi-threading (std::thread, thread pools), race-condition/false-sharing avoidance Manual memory management, leak-free integration with third-party C/C++ libraries Quaternion/rotation math, coordinate frame transforms CMake, unit testing (GoogleTest or similar) Python (for tooling/scripting/testing) Kalman/Bayesian filtering theory Attitude/rigid-body dynamics background Astrodynamics / orbital mechanics fundamentals TLE (Two-Line Element) format familiarity Optional: OpenMP, MPI/OpenMPI Valgrind, AddressSanitizer, profilers (perf, VTune) CI pipelines for C++, cross-platform builds Benefits We offer great career growth, ESOPs, Gratuity, PF and Health Insurance.