Senior Applied Research Scientist - Computational Geometry and Meshingmill
NVIDIAJob Title
Senior Applied Research Scientist - Computational Geometry and Meshingmill
Role Summary
Develop and advance computational-geometry, mesh generation, and discretization algorithms to convert design/CAD data into simulation-ready representations optimized for NVIDIA GPU platforms.
Work with product teams across Omniverse, OpenUSD, Warp, solver engineering, NVIDIA Research, universities, and industrial partners to improve robustness, numerical accuracy, and end-to-end simulation performance.
Experience Level
Senior-level; typically requires 5+ years of relevant industry or research experience.
Responsibilities
Design and implement algorithms and benchmarks for geometry-to-simulation workflows.
- Develop algorithms for mesh generation, mesh adaptation, curved/high-order discretization, and spatial data structures.
- Investigate differentiable geometry, learning-based and AI-native meshing, and design-to-simulation pipelines.
- Optimize geometry and discretization methods for solver and hardware (GPU) performance and numerical accuracy.
- Define and run benchmarks for mesh quality, geometry conversion, discretization error, robustness, solver impact, and end-to-end simulation metrics.
- Collaborate cross-functionally with software engineers, researchers, and external partners to integrate methods into products and workflows.
Requirements
Must-have skills and experience for immediate contribution.
- 5+ years of experience in computational geometry, geometry processing, mesh generation, adaptive discretization, CAD/CAE algorithms, or simulation-ready representations.
- Proven track record of applied research or software impact in computational engineering or related domains.
- Strong C++ and Python programming skills; experience implementing sophisticated geometry algorithms.
- Deep understanding of boundary representations, topology, mesh quality metrics, discretization error, numerical robustness, and solver requirements.
Nice-to-have
- Experience with CAD kernels/formats (Parasolid, ACIS, Open Cascade, STEP, IGES, CATIA, NX, Creo, SOLIDWORKS, B-Rep, NURBS).
- Familiarity with tetrahedral/hexahedral/polyhedral/anisotropic/adaptive/curved/high-order mesh generation and boundary-layer meshes.
- Experience in isogeometric analysis, remeshing, meshless methods, topology/shape optimization, or differentiable geometry.
- Experience with geometry repair, feature recognition, parameterization, learning-based geometry representations, GPU spatial algorithms, or solver-aware adaptation.
Education Requirements
PhD or equivalent experience in computer science, computational geometry, scientific computing, graphics, applied mathematics, computational mechanics, engineering, or a related technical field; equivalent practical experience is acceptable.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
