4 days ago
Pune, India or Bengaluru, IndiaStaff+
Responsibilities
- Own the technical direction, architecture, design, and delivery of custom software and simulation solutions.
- Architect cross-domain and hybrid simulations across mechanical, thermal, fluid, electrical, and discrete-event domains.
- Lead CFD, multiphysics, electromagnetic, electro-thermal, turbulence, multiphase-flow, conjugate-heat-transfer, and fluid-structure-interaction simulations.
- Design parametric simulation studies using DOE, Latin Hypercube, Sobol, and related sampling strategies to create Physics AI training datasets.
- Develop reduced-order models, surrogate models, and Physics-Informed Neural Networks for fluid and thermal problems.
- Build virtual sensor, derived-variable, digital-twin, predictive-maintenance, and real-time industrial simulation models.
- Automate, orchestrate, and deploy simulation pipelines using HPC, cloud environments, scripting, and solver APIs.
- Integrate commercial simulation software and scripting environments, including Ansys, COMSOL, Abaqus, Python, MATLAB, and Modelica.
- Extract and manage large CFD field datasets for Physics AI model training and result analysis.
- Provide technical leadership and mentorship while establishing scalable simulation practices and architectural patterns.
- Participate in sales pursuits, pre-sales discussions, client presentations, project wins, patents, whitepapers, proofs of concept, and conference or academic presentations.
- Collaborate with global clients and distributed cross-functional teams.
Requirements
- At least 7.5 years of experience is required; the additional information indicates a candidate profile of 10–12 years.
- Hands-on CFD experience with Ansys Fluent, OpenFOAM, or STAR-CCM+, including meshing, boundary conditions, turbulence, multiphase flow, conjugate heat transfer, and species transport.
- Strong numerical foundations in the finite volume method, discretization, pressure-velocity coupling, solver stability, mesh quality, and convergence troubleshooting.
- Applied experience with reduced-order modeling using POD/SVD, surrogate modeling, neural networks, and DOE sampling strategies.
- Proficiency in Python and associated scientific computing, data, visualization, and machine learning libraries.
- Experience extracting and structuring CFD data in cas/dat, VTK, RST, or HDF5 formats.
- Experience with digital twins, physics-based simulation, RTX environments, or synthetic-data workflows.
- Cloud engineering experience involving automation, orchestration, and deployment of scalable simulation pipelines.
- Experience in manufacturing, industrial automation, automotive, or aerospace sectors.
- Bachelor's or master's degree in engineering or physics, with 15 years of full-time education.
- Preferred experience includes Ansys Twin Builder, FMI/FMU, OpenModelica, NVIDIA Omniverse, Isaac Sim, OpenUSD, robotics simulation, digital twins, predictive maintenance, and AI/ML-driven simulation workflows.
- Preferred scripting experience includes C++, MATLAB, and Modelica.
Benefits
- The position is based in Bengaluru or Pune.
- The role involves working with global clients and multicultural, distributed teams.
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.