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.