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 highly experienced Physics-Based Simulation Lead to drive the design and deployment of advanced simulation solutions across engineering and manufacturing domains. The ideal candidate will integrate physics-first modeling with system-level architecture, 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. Lead advanced CFD and Multiphysics simulations across component and system levels, covering turbulence, multiphase flows, conjugate heat transfer, fluid–structure interaction, and electro-thermal/electromagnetic modeling. Drive accuracy in physics representation, coupling strategies, and workflow scalability through automation, HPC, and cloud-based deployment. Design and implement simulation pipelines integrating physics-based rendering, digital twins, and real-time visualization in cloud or hybrid environments. Leverage cloud-native infrastructure (e.g., 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 and any scripting environments. Lead validation and verification efforts, correlating simulation outcomes with experimental datasets and real-world performance. Provide technical leadership and mentorship, guiding engineering teams on 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 presentations of our capabilities 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 single-domain and Multiphysics scenarios, with strong foundations in numerical methods, solver development, continuum mechanics, reduced-order modeling, and real-time co-simulation. Extensive hands-on experience in one or more leading simulation platforms such as ANSYS Fluent/CFX, Siemens Simcenter STAR-CCM+, COMSOL Multiphysics, MOOSE, LAMMPS, OpenFOAM, etc. Proven expertise in developing Reduced Order Models (ROMs), surrogate modeling, and optimization techniques for CFD, Multiphysics, and electromagnetic simulations. Drive scalable system-level analysis and rapid design space exploration. Enable real-time integration with digital twins and control systems for enhanced performance. Experience in creating digital twins, performing physics-based simulation, real-time rendering 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, e.g. 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 in Bengaluru. Candidate should have 6 to 9+ years and above Industry Experience. Bachelor s or master's in engineering, Physics, or related field (PhD preferred)
15 years full time education
