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# Senior AI Solutions Architect - Industrial Engineering

- **Company:** NVIDIA Ltd.
- **Location:** Aiken, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Abaqus, Artificial Intelligence, C++ (Programming Language), Computational Fluid Dynamics, Computer Simulation, Comsol Multiphysics, Distributed Systems, Github, Python (Programming Language), Modular Design, Open Source Technology, Digital Twin, Slurm, Ansys, Software Version Control, Data Pipelines, Ls-dyna
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-ai-solutions-architect-industrial-engineering-texas-usa-58895126

## About the Role

_ cycles * Analyze architectures to identify acceleration opportunities across data pipelines and solvers * Provide feedback to engineering, product, and research teams * Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions Tasks * 8+ years in CAE/CFD/FEA or computational engineering, including numerical simulation or HPC analysis * Hands-on use of commercial or open-source tools (e.g., Ansys, Siemens Simcenter, Altair, COMSOL, OpenFOAM, LS-DYNA, Abaqus) * Strong grounding in numerical methods and physics solvers (FEM/FVM) and linear algebra * Experience programming in Python and C/C++, with GPU-accelerated workloads * Familiarity with HPC clusters, Slurm, and GPU-based distributed systems * Experience with containers, libraries, modular design, version control (GitHub) * Ability to design and prototype complex customer solutions across data pipelines, solvers, compute, networking, and orchestration * Solid communication skills and collaborative work style * aa
in player with adaptability in a fast-paced environment Key requirements * equity * benefits * remote work options * competitive base salary * career growth * collaborative culture

## Description

Experteer Overview As a Senior Solutions Architect, you partner with Business Development, Sales, and Industry leads to accelerate CAE/CFD/FEA workloads on NVIDIA platforms. You embed NVIDIA technologies-Omniverse, physics-ML-and GPU-accelerated computing into solver and digital-twin pipelines. You influence design cycles and performance, helping customers adopt next-gen engineering workflows. This role blends hands-on technical advisory with cross-functional collaboration to scale industrial simulation ecosystems. Compensation / Benefits * Support Business Development and Sales as part of a small Solutions Architecture team and drive ecosystem success with ISVs, platforms, and OEMs * Engage directly with engineering software developers and customer simulation teams in a customer-facing setting * Assist developers in GPU-accelerating and scaling CAE/CFD/FEA solvers and workloads on NVIDIA HPC platforms * Apply physics-informed ML and surrogate modeling to shorten design and simulation cycles * Analyze architectures to identify acceleration opportunities across data pipelines and solvers * Provide feedback to engineering, product, and research teams * Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions Tasks * 8+ years in CAE/CFD/FEA or computational engineering, including numerical simulation or HPC analysis * Hands-on use of commercial or open-source tools (e.g., Ansys, Siemens Simcenter, Altair, COMSOL, OpenFOAM, LS-DYNA, Abaqus) * Strong grounding in numerical methods and physics solvers (FEM/FVM) and linear algebra * Experience programming in Python and C/C++, with GPU-accelerated workloads * Familiarity with HPC clusters, Slurm, and GPU-based distributed systems * Experience with containers, libraries, modular design, version control (GitHub) * Ability to design and prototype complex customer solutions across data pipelines, solvers, compute, networking, and orchestration * Solid communication skills and collaborative work style * Team player with adaptability in a fast-paced environment Key requirements * equity * benefits * remote work options * competitive base salary * career growth * collaborative culture


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