Senior AI Solutions Architect – Industrial Engineering

🕒 August 10

🏄 California, Texas, +1 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 5%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Support Business Development and Sales teams as part of a Solutions Architecture team, partnering with Industry Business leads, Account Managers, and Developer Relations managers across Industrial Engineering accounts. • Work directly with engineering-software developers and customer simulation teams in a customer-facing setting. • Help developers GPU-accelerate and scale CAE/CFD/FEA solvers and structural, thermal, and fluid-dynamics workloads on NVIDIA accelerated computing and HPC platforms. • Apply physics-informed ML and surrogate modeling, including NVIDIA PhysicsNeMo / Modulus, and NVIDIA Omniverse digital twins to compress design, simulation, and optimization cycles. • Analyze simulation and engineering application architectures and identify opportunities for acceleration. • Provide feedback and collaborate with engineering, product, and research teams. • Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms.

🎯 Requirements

• BS/MS/PhD in Mechanical, Aerospace, Civil, or Chemical Engineering, Computational Science, Applied Mathematics, Physics, or a related technical field (or equivalent experience) • 8+ years working in CAE/CFD/FEA or computational engineering • Experience with numerical simulation, solver development, or HPC-based engineering analysis • Hands-on experience with commercial or open-source simulation tools such as Ansys, Siemens Simcenter, Altair, COMSOL, Cadence Fidelity CFD, OpenFOAM, LS-DYNA, or Abaqus • Strong grounding in numerical methods (FEM/FVM/spectral), linear algebra, and mathematics behind physics solvers • Algorithm programming experience using Python and C/C++ • Familiarity with GPU-accelerating compute-intensive workloads • Familiarity with accelerated computing platforms, GPU-based distributed systems, and HPC clusters/schedulers such as Slurm • Familiarity with containers, numerical libraries, modular software design, version control, and GitHub • Experience designing, prototyping, and building complex customer solutions across data pipelines, solvers, compute, networking, and orchestration • Solid written and oral communication skills and familiarity with collaborative environments • Ability to learn, react, and adapt quickly in a fast-paced environment • Experience GPU-accelerating CFD/FEA solvers or developing physics-ML and surrogate models • Background with NVIDIA Omniverse, OpenUSD, and digital-twin workflows • Development experience with NVIDIA software libraries and GPUs, including CUDA and CUDA-X math libraries • Experience with Kubernetes, distributed training, and large-scale inference • Experience supporting or using PCIe accelerators such as GPUs, FPGAs, and DSPs from evaluation to production stages

🏖️ Benefits

• Equity • Benefits • Equal opportunity employer • Inclusive work environment