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