Software Architect

Responsibilities

• Architect and implement a dynamical system simulation framework for complex physical 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 and stability analysis
• Collaborate with AI/ML teams to embed predictive models and data-driven controllers into the simulation loop
• Profile and tune performance-critical components for compute efficiency and memory management
• Lead a small team of simulation and algorithm engineers

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Control Systems, or Applied Mathematics
• 10+ years of experience in high-performance computational software development
• Deep understanding of control theory, dynamical systems, and feedback mechanisms
• Expertise in numerical methods, ODE/PDE solvers, and stability analysis
• Proficiency in parallel and GPU computing (CUDA, OpenCL, OpenMP)
• Strong skills in C/C++, Python, and scientific computing libraries
• Proven experience integrating AI/ML frameworks like PyTorch or TensorFlow with numerical systems

Preferred Qualifications

• Experience building simulation engines from scratch
• Familiarity with distributed compute systems and profiling tools
• Exposure to DevOps for scientific codebases including CMake, CI/CD, and Docker

Benefits

• Career growth opportunities
• ESOPs
• Gratuity
• PF
• Health Insurance