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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...

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Astrome Technologies Bangalore, Karnataka, India Source published Aug 6, 2026 Verified 15 hours ago
✓ 92% verification score · Source: Astrome Technologies Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull Time
CountryIndia
DepartmentSpace
IndustryTelecommunications

Overview

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 multipl

Full job description

Description

Full Job Description

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.

Qualifications And Requirements

Mid-Senior level

Requirements & qualifications

Mid-Senior level

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