About the Role
We are seeking a
Software Architect
to lead the design and development of a next-generation
dynamical simulation engine
that combines
high-performance numerical computation
,
control-theoretic modeling
, and
AI-driven predictive analytics
.
You will architect and implement the computational core—designing scalable, precision-focused systems running on
CPU and GPU
—and integrate AI/ML modules for learning, estimation, and prediction. This is a hands-on, technically deep role with architectural ownership and cross-team leadership.
Key Responsibilities
Core Architecture & Simulation Engine
Architect and implement a
dynamical system simulation framework
for complex, time-dependent physical and engineered processes.
Develop and optimize numerical algorithms for
multi-core CPUs and GPUs
using
C/C++
,
Python
, and
CUDA/OpenCL
.
Integrate
control-theoretic models
, including feedback systems, stability analysis, and perturbation analysis.
Define simulation data structures, solver architectures, and modular interfaces for extensibility.
AI / Predictive Modeling Integration
Collaborate with AI/ML teams to embed
predictive models
and
data-driven controllers
into the simulation loop.
Architect efficient data exchange and compute workflows between numerical solvers and AI inference engines.
Optimize hybrid AI + physics simulation performance.
Performance & Optimization
Profile and tune performance-critical components for compute efficiency, memory management, and scalability.




Develop benchmarking tools and regression frameworks for algorithm validation.
Leadership & Collaboration
Lead a small team of simulation and algorithm engineers.
Work closely with the
Application Tech Lead
and UI/backend teams for seamless integration.
Establish architectural standards, review processes, and documentation practices.
Bachelor's or Master's degree in
Computer Science, Electrical/Mechanical Engineering, Control Systems, Applied Mathematics
, or a related field.
10+ years
of experience in high-performance computational software development.
Deep understanding of:
Control theory
, dynamical systems, and feedback mechanisms
Numerical methods
, ODE/PDE solvers, and stability analysis
Parallel and GPU computing
(CUDA, OpenCL, OpenMP)
C/C++
,
Python
, and scientific computing libraries
Proven experience integrating
AI/ML frameworks
(PyTorch, TensorFlow) with numerical systems.
Preferred Skills
Experience building
simulation engines from scratch
, not just using existing platforms.
Familiarity with
distributed compute systems
, profiling, and optimization tools.
Exposure to
DevOps for scientific codebases
(CMake, CI/CD, Docker).
Soft Skills
Solid analytical and problem-solving skills rooted in mathematical reasoning.
Excellent communication and technical documentation abilities.
Proven leadership and mentoring capability.
We offer great career growth, ESOPs, Gratuity, PF and Health Insurance.

📌 Software Architect - High-Performance Computing, Dynamical Simulation & Ai (Bengaluru)
🏢 Astrome Technologies
📍 Bengaluru