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Technology Architect

Technology Architect

Accenture

15 - 20 years

15 - 19 Lacs

bengaluru

Posted:6 hours ago| Platform:

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Skills Required

fea simulation solution development physics simulation software matlab continuum python c++ technical leadership modelica microsoft azure mechanics ansys openfoam technology architecture artificial intelligence comsol gcp aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role

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 :NAMinimum
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 methodologiesto 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 - Bachelors or master's in engineering, Physics, or related field (PhD preferred)
Qualification
15 years full time education

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