Description :

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 coredesigning scalable, precision-focused systems running on CPU and GPUand 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.

Requirements :

- 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 :

1. Control theory, dynamical systems, and feedback mechanisms.

2. Numerical methods, ODE/PDE solvers, and stability analysis.

3. Parallel and GPU computing (CUDA, OpenCL, OpenMP).

4. 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 :

- Strong analytical and problem-solving skills rooted in mathematical reasoning.

- Excellent communication and technical documentation abilities.

- Proven leadership and mentoring capability.

Benefits :

- We offer great career growth, ESOPs, Gratuity, PF and Health Insurance.