Software Architect

2 days ago

bangalore, India Astrome Technologies Full time

About the RoleWe 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 EngineArchitect 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 IntegrationCollaborate 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 & OptimizationProfile and tune performance-critical components for compute efficiency, memory management, and scalability.Develop benchmarking tools and regression frameworks for algorithm validation.Leadership & CollaborationLead 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.RequirementsBachelor'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 mechanismsNumerical methods, ODE/PDE solvers, and stability analysisParallel and GPU computing (CUDA, OpenCL, OpenMP)C/C++, Python, and scientific computing librariesProven experience integrating AI/ML frameworks (PyTorch, TensorFlow) with numerical systems.Preferred SkillsExperience 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 SkillsStrong analytical and problem-solving skills rooted in mathematical reasoning.Excellent communication and technical documentation abilities.Proven leadership and mentoring capability.BenefitsWe offer great career growth, ESOPs, Gratuity, PF and Health Insurance.

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