FEA Simulation Professional

5 00 - 20 00 Years 10 00 - 40 00 INR (Lacs)/Yearly Full-time Full-time Roles & Responsibility Project Role : Technology ArchitectProject 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 SimulationGood to have skills : NAMinimum 12 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummary: We are seeking a highly experienced and strategic Physics-Based Simulation Architect to lead the design and deployment of advanced simulation solutions across manufacturing and engineering domains The ideal candidate will drive innovation by integrating physics-first modeling with system-level architectures including NVIDIA ecosystems cloud platforms and MBSE methodologies to solve complex engineering challenges Roles & Responsibilities: - Architect simulation solutions across multi-physics domains (mechanical thermal fluid electrical) with orchestration of cross-domain and discrete-event simulations - Design and implement pipelines leveraging NVIDIA simulation tools (eg Omniverse PhysX Modulus Isaac Sim) integrating physics-based rendering digital twins and real-time visualization in cloud or hybrid environments - Leverage cloud-native infrastructure (eg 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 and simulation results - Implement cross-domain and hybrid simulations combining discrete-event modeling for factory workflows with physics-based models for material fluid and thermal processes - Champion co-simulation architectures surrogate modeling and tool integration across commercial software (ANSYS COMSOL Abaqus) and scripting environments (Python MATLAB Modelica) - Lead validation and verification efforts correlating simulation outcomes with experimental datasets and real-world performance - Provide technical leadership and mentorship guiding engineering teams in scalable simulation best practices and architectural patterns - Actively lead and participate in sales pursuits and pre-sales engagements with responsibility for new project wins This will involve multiple discussions and presentation of our capability and solutions to potential clients and other Accenture stakeholders/ leaders - Active participation and leadership in driving industry related thought leadership activities like patents authoring whitepapers/ POVs proof of concepts conference/ academia presentations capability presentations etc - 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 simulation across both single-domain and Multiphysics modeling scenarios with a strong foundation in numerical methods solver development continuum mechanics reduced-order modeling and real-time co-simulation - Extensive hands-on experience with simulation software such as ANSYS toolsets COMSOL MOOSE LAMMPS OpenFOAM etc - Creating digital twins performing physics-based simulation rendering RTX environments or synthetic data workflows for real-time industrial applications - Cloud engineering background including automation orchestration and deployment of simulation pipelines in scalable environments - Solid understanding of MBSE with experience aligning system architecture requirements and simulation -Knowledge of DES or hybrid modeling approaches to simulate discrete manufacturing processes alongside continuous domain models - Experience with manufacturing industrial automation automotive or aerospace sectors Good to Have Skills: - Experience in scripting and automation eg Python C++ MATLAB Modelica - Background in digital twin development for factory planning robotics simulation or predictive maintenance - Knowledge of NVIDIA Omniverse and Isaac Sim - Familiarity with FMI/FMU OpenModelica OpenUSD or robotics simulation standards - Exposure to AI/ML-driven simulation workflows Physics-informed ML surrogate modeling generative AI tools for model generation and behavior prediction Additional Info: - This position is based at Bengaluru Pune - Candidate should have 12 to 16 years and above Industry Experience - Bachelor s or master's in engineering Physics or related field (PhD preferred) Requirements Project Role : Technology ArchitectProject 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 SimulationGood to have skills : NAMinimum 12 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummary: We are seeking a highly experienced and strategic Physics-Based Simulation Architect to lead the design and deployment of advanced simulation solutions across manufacturing and engineering domains The ideal candidate will drive innovation by integrating physics-first modeling with system-level architectures including NVIDIA ecosystems cloud platforms and MBSE methodologies to solve complex engineering challenges Roles & Responsibilities: - Architect simulation solutions across multi-physics domains (mechanical thermal fluid electrical) with orchestration of cross-domain and discrete-event simulations - Design and implement pipelines leveraging NVIDIA simulation tools (eg Omniverse PhysX Modulus Isaac Sim) integrating physics-based rendering digital twins and real-time visualization in cloud or hybrid environments - Leverage cloud-native infrastructure (eg 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 and simulation results - Implement cross-domain and hybrid simulations combining discrete-event modeling for factory workflows with physics-based models for material fluid and thermal processes - Champion co-simulation architectures surrogate modeling and tool integration across commercial software (ANSYS COMSOL Abaqus) and scripting environments (Python MATLAB Modelica) - Lead validation and verification efforts correlating simulation outcomes with experimental datasets and real-world performance - Provide technical leadership and mentorship guiding engineering teams in scalable simulation best practices and architectural patterns - Actively lead and participate in sales pursuits and pre-sales engagements with responsibility for new project wins This will involve multiple discussions and presentation of our capability and solutions to potential clients and other Accenture stakeholders/ leaders - Active participation and leadership in driving industry related thought leadership activities like patents authoring whitepapers/ POVs proof of concepts conference/ academia presentations capability presentations etc - 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 simulation across both single-domain and Multiphysics modeling scenarios with a strong foundation in numerical methods solver development continuum mechanics reduced-order modeling and real-time co-simulation - Extensive hands-on experience with simulation software such as ANSYS toolsets COMSOL MOOSE LAMMPS OpenFOAM etc - Creating digital twins performing physics-based simulation rendering RTX environments or synthetic data workflows for real-time industrial applications - Cloud engineering background including automation orchestration and deployment of simulation pipelines in scalable environments - Solid understanding of MBSE with experience aligning system architecture requirements and simulation -Knowledge of DES or hybrid modeling approaches to simulate discrete manufacturing processes alongside continuous domain models - Experience with manufacturing industrial automation automotive or aerospace sectors Good to Have Skills: - Experience in scripting and automation eg Python C++ MATLAB Modelica - Background in digital twin development for factory planning robotics simulation or predictive maintenance - Knowledge of NVIDIA Omniverse and Isaac Sim - Familiarity with FMI/FMU OpenModelica OpenUSD or robotics simulation standards - Exposure to AI/ML-driven simulation workflows Physics-informed ML surrogate modeling generative AI tools for model generation and behavior prediction Additional Info: - This position is based at Bengaluru Pune - Candidate should have 12 to 16 years and above Industry Experience - Bachelor s or master's in engineering Physics or related field (PhD preferred)