Technology Architect

Technology Architect

Project Role : Technology Architect
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : FEA Simulation
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: We are seeking a visionary Physics-Based Simulation Architect to lead the design and deployment of advanced engineering simulation solutions across manufacturing and industrial domains. This role demands deep expertise in Multiphysics simulation, first-principles modeling, and digital twin development, combined with strategic leadership in system-level architectures. You will leverage cutting-edge platforms such as NVIDIA Omniverse, cloud simulation environments (AWS, Azure, GCP), and MBSE methodologies to deliver scalable, high-performance solutions. Join us to drive innovation, enable next-generation simulation architectures, and solve complex engineering challenges for global clients. Roles & Responsibilities: Architect simulation methods and solutions across Multiphysics domains (mechanical, thermal, fluid, electrical) while orchestrating cross-domain workflows. Design and implement pipelines leveraging NVIDIA platform-based simulation tools such as Omniverse, PhysX, Modulus, and Isaac Sim, integrating physics-based rendering, digital twins, and real-time visualization in cloud or hybrid environments. Leverage cloud-native infrastructure (AWS, Azure, or GCP) to automate, scale, and orchestrate simulation workloads. Apply MBSE methodologies (SysML, Cameo, Capella) to formally align system requirements with model execution. Implement cross-domain and hybrid simulations by combining discrete-event modeling for factory workflows with physics-based models for engineering processes such as material, fluid, and thermal. Champion co-simulation architectures, fast-running simulation models, and tool integration across commercial software (ANSYS, COMSOL, Abaqus) and scripting environments (Python, MATLAB, Modelica). Lead validation and verification efforts by correlating simulation outcomes with experimental datasets and real-world performance. Provide technical leadership and mentorship, guiding development teams and collaborating with cross-functional teams. Actively lead and participate in sales pursuits and pre-sales engagements, including discussions and presentations of capabilities and solutions to potential clients and internal stakeholders. Contribute to industry thought leadership through patents, whitepapers, POVs, proof of concepts, conference and academic presentations, and capability showcases. Work with global clients and cross-functional teams in a multicultural and distributed environment. Professional & Technical Skills Must-Have Skills: Deep expertise in physics-based modeling and simulation across multiple engineering domains, with a strong foundation in numerical methods, PDE solvers, continuum mechanics, reduced-order modeling, and real-time co-simulation. Extensive hands-on experience with commercial simulation tools such as ANSYS, COMSOL, MOOSE, LAMMPS, OpenFOAM, and similar platforms. Proven ability in creating digital twins and developing high-fidelity physics-based visualizations to support real-time simulation and decision-making for industrial applications. Experience in generating synthetic data to validate and test real-time industrial simulation applications. Strong background in cloud-based simulation workflows, including automation, orchestration, and deployment of scalable simulation pipelines on platforms like AWS, Azure, or GCP. Solid understanding of Model-Based Systems Engineering (MBSE), with experience in aligning system requirements, architecture models, and simulation execution using tools like SysML, Cameo, or Capella. Comprehensive knowledge of Discrete Event Simulation (DES) and hybrid modeling approaches to simulate discrete manufacturing processes alongside continuous physics-based models. Significant industry experience in manufacturing, industrial automation, automotive, or aerospace sectors. Good-to-Have Skills: Proficiency in scripting and automation using languages such as Python, C++, and MATLAB for simulation workflows. Experience in digital twin development for applications like factory planning, robotics simulation, and predictive maintenance. Working knowledge of NVIDIA Omniverse and Isaac Sim for advanced simulation and visualization. Familiarity with FMI/FMU standards, OpenModelica, OpenUSD, and robotics simulation frameworks. Exposure to AI/ML-driven simulation workflows, including Physics-Informed Neural Networks (PINNs), surrogate modeling, and generative AI tools for model creation and behavior prediction. Additional Info: Cand should have 12 to16+ years of experience Bachelor s or Master s in Engineering, Physics, or Ph.D. in related field. This position is based at Bengaluru/Pune location.