2 Nvidia Civil Engineering Jobs Hiring Near You

Job Summary:
NVIDIA is a leader in computer graphics and AI technology, seeking a Senior Solutions Architect to support Industrial Engineering accounts. This role involves collaborating with engineering software developers and customer teams to enhance simulation performance and implement NVIDIA's advanced computing solutions.
Responsibilities:
• Support Business Development and Sales teams as part of a small Solutions Architecture team, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive ecosystem success across Industrial Engineering accounts (CAE/CFD/FEA ISVs, simulation platforms, and industrial OEMs).
• 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 (e.g., NVIDIA PhysicsNeMo / Modulus) and NVIDIA Omniverse digital twins to compress design, simulation, and optimization cycles.
• Analyze simulation and engineering application architectures and find opportunities for acceleration.
• Provide feedback and collaborate with engineering, product, and research teams.
• Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms.
Qualifications:
Required:
• MS/PhD in Mechanical, Aerospace, Civil, or Chemical Engineering, Computational Science, Applied Mathematics, Physics, or a related technical field (or equivalent experience).
• 4+ years working in CAE/CFD/FEA or computational engineering — numerical simulation, solver development, or HPC-based engineering analysis.
• Hands-on experience with commercial or open-source simulation tools (e.g., Ansys, Siemens Simcenter, Altair, COMSOL, Cadence Fidelity CFD, OpenFOAM, LS-DYNA, Abaqus).
• Strong grounding in numerical methods (FEM/FVM/spectral), linear algebra, and the mathematics behind physics solvers.
• Experience in algorithm programming using languages like Python and C/C++, with familiarity GPU-accelerating compute-intensive workloads.
• Familiarity with accelerated computing platforms, GPU-based distributed systems, and HPC clusters/schedulers (e.g., Slurm).
• Familiarity with containers, numerical libraries, modular software design, version control, GitHub.
• Experience designing, prototyping, and building complex solutions for customers; able to reason across components such as data pipelines, solvers, compute, networking, and orchestration.
• Solid written and oral communication skills and familiarity with collaborative environments.
• Team player who can learn, react, and adapt quickly, with an attitude to work in a fast-paced environment.
Preferred:
• Experience GPU-accelerating CFD/FEA solvers, or developing physics-ML and surrogate models (NVIDIA PhysicsNeMo/Modulus, physics-informed neural networks).
• Experience with NVIDIA Omniverse, OpenUSD, and digital-twin workflows for industrial and engineering simulation.
• Development experience with NVIDIA software libraries and GPUs, including CUDA and CUDA-X math libraries (cuBLAS, cuSPARSE, cuDNN).
• Experience with Kubernetes, distributed training, and large-scale inference.
• Experience supporting or using PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.