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 7.5 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. - Knowledge of NVIDIA Omniverse and Isaac Sim, 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. - 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 8 to 12 years of Industry Experience - Bachelor’s or master's in engineering, Physics, or related field (PhD preferred)15 years full time education

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.