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 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: 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 (e.g., Omniverse, PhysX, Modulus, Isaac Sim), 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 (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, 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 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)

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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