Software Architect - Dynamical Simulation & AI (Space Division)

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.

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:

  • **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

• 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.