Senior AI Solutions Architect – Industrial Engineering

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Collaborate with the Business Development and Sales teams as part of a Solutions Architecture team, working alongside Industry Business leads, Account Managers, and Developer Relations managers within Industrial Engineering accounts.

• Engage directly with engineering-software developers and customer simulation teams in a client-facing role.

• Assist developers in GPU acceleration and scaling of CAE/CFD/FEA solvers as well as structural, thermal, and fluid-dynamics workloads on NVIDIA accelerated computing and HPC platforms.

• Leverage physics-informed machine learning and surrogate modeling, including NVIDIA PhysicsNeMo / Modulus, and NVIDIA Omniverse digital twins to enhance design, simulation, and optimization cycles.

• Evaluate simulation and engineering application architectures to uncover acceleration opportunities.

• Provide insights and collaborate with engineering, product, and research teams.

• Conduct 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).

• Over 8 years of experience in CAE/CFD/FEA or computational engineering.

• Proficient in numerical simulation, solver development, or HPC-based engineering analysis.

• Practical experience with commercial or open-source simulation tools such as Ansys, Siemens Simcenter, Altair, COMSOL, Cadence Fidelity CFD, OpenFOAM, LS-DYNA, or Abaqus.

• Strong foundation in numerical methods (FEM/FVM/spectral), linear algebra, and the mathematics underlying physics solvers.

• Experience with algorithm programming in Python and C/C++.

• Knowledge of GPU-accelerating compute-intensive workloads.

• Familiarity with accelerated computing platforms, GPU-based distributed systems, and HPC clusters/schedulers like Slurm.

• Understanding of containers, numerical libraries, modular software design, version control, and GitHub.

• Experience in designing, prototyping, and constructing complex customer solutions involving data pipelines, solvers, compute, networking, and orchestration.

• Excellent written and verbal communication skills and experience in collaborative environments.

• Capability to learn quickly, respond, and adapt in a dynamic environment.

• Experience in GPU-accelerating CFD/FEA solvers or developing physics-ML and surrogate models.

• Background knowledge of NVIDIA Omniverse, OpenUSD, and digital-twin workflows.

• Development experience with NVIDIA software libraries and GPUs, including CUDA and CUDA-X math libraries.

• Familiarity with Kubernetes, distributed training, and large-scale inference.

• Experience in supporting or utilizing PCIe accelerators such as GPUs, FPGAs, and DSPs from evaluation through to production stages.

🏝️ Benefits

• Equity

• Benefits

• Equal opportunity employer

• Inclusive work environment