Senior Computational Geometry & Meshing Scientist (GPU)

Nvidia Corporation in; Santa Clara (CA); On-site; USD 192,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Applied Research Scientist to advance computational geometry and meshing for GPU platforms. You will build geometry and discretization methods to improve robustness, accuracy, and end-to-end performance across CAE, EDA, semiconductor, and scientific computing workflows.

You will collaborate across NVIDIA Research, Omniverse, OpenUSD, Warp, and industrial partners, tackling differentiable geometry, learning-based meshing, and AI-native geometry representations to enable

Qualifications

• PhD or equivalent experience in CS, computational geometry, scientific computing, graphics, applied mathematics, engineering, or related field.
• 5+ years of experience.
• Background in computational geometry, geometry processing, mesh generation, adaptive discretization, CAD/CAE algorithms, or simulation-ready representations with 5+ years in computational engineering.
• C++ and Python skills with algorithms for sophisticated geometry.
• Understanding of boundary representations, topology, mesh quality, discretization error, numerical robustness, and solver requirements.

Responsibilities

• Build algorithms for computational geometry, meshing, and CAD/CAE interoperability.
• Explore differentiable geometry, AI-native processing, and learning-based meshing.
• Investigate solver- and hardware-aware geometry methods for robustness and efficiency.
• Define benchmarks for mesh quality, geometry conversion, discretization accuracy, and performance.
• Collaborate with teams across NVIDIA platforms and external partners.

Skills

C++

Python

Computational Geometry

Mesh Generation

Education

PhD or equivalent in related field

Tools

Parasolid

Open CASCADE

NURBS

Job description

NVIDIA is seeking a Senior Applied Research Scientist to advance computational geometry and meshing for GPU platforms. You will build geometry and discretization methods to improve robustness, accuracy, and end-to-end performance across CAE, EDA, semiconductor, and scientific computing workflows.

You will collaborate across NVIDIA Research, Omniverse, OpenUSD, Warp, and industrial partners, tackling differentiable geometry, learning-based meshing, and AI-native geometry representations to enable