Software Architect - High-Performance Computing, Dynamical Simulation & AI at Astrome Technologies

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Architecture, High-Performance Computing, Dynamical Simulation, AI, Numerical Algorithms, C/C++, Python, CUDA, Control Theory, Feedback Systems, AI/ML Integration, Performance Optimization, Team Leadership, Technical Documentation, Problem-Solving, Analytical Skills

Industry

Telecommunications

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 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 ResponsibilitiesCore 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 Strong 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.

Responsibilities

The Software Architect will lead the design and development of a dynamical simulation engine, focusing on high-performance numerical computation and AI-driven predictive analytics. Responsibilities include architecting the simulation framework, optimizing numerical algorithms, and integrating AI/ML modules.