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.
Professional & Technical Skills - 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.