Senior Applied Research Scientist – Computational Geometry, Meshing

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Develop algorithms for computational geometry, computer-aided engineering, and design interoperability, including mesh generation, adaptation, spatial data structures, and curved discretization.

• Examine differentiable geometry, AI-driven geometry processing, learning-based meshing and discretization, as well as design-to-simulation workflows.

• Investigate solver- and hardware-aware geometry and discretization techniques aimed at enhancing mesh quality, numerical precision, robustness, and simulation efficiency.

• Establish benchmarks for evaluating mesh quality, geometry conversion, discretization accuracy, robustness, the impact on downstream solvers, and the overall performance of end-to-end simulations.

• Work in collaboration with teams across Omniverse, OpenUSD, Warp, solver engineering, NVIDIA Research, universities, and industry partners.

⛳️ Requirements

• PhD or equivalent experience in fields such as computer science, computational geometry, scientific computing, graphics, applied mathematics, computational mechanics, engineering, or a related area.

• Over 5 years of relevant experience.

• At least 5 years of demonstrated experience in computational engineering, particularly in computational geometry, geometry processing, mesh generation, adaptive discretization, CAD and CAE algorithms, or simulation-ready representations.

• Proficiency in C++ and Python.

• Experience in developing algorithms for complex geometry.

• Knowledge of boundary representations, topology, mesh quality, discretization errors, numerical robustness, and solver requirements.

• Experience substantiated by research, software contributions, or industrial impact.

• Familiarity with CAD kernels or formats such as Parasolid, ACIS, Open Cascade, CATIA, NX, Creo, SOLIDWORKS, STEP, IGES, B-Rep, NURBS, or spline-based representations.

• Experience in generating tetrahedral, hexahedral, polyhedral, anisotropic, adaptive, boundary-layer, curved, or high-order meshes.

• Background in isogeometric analysis, remeshing, meshless methods, topology optimization, shape optimization, differentiable geometry, or AI-driven mesh generation.

• Proficiency in geometry repair, feature or simulation-intent recognition, parameterization, persistent correspondence, learning-based geometry representations, GPU spatial algorithms, or solver-aware adaptation.

🏝️ Benefits

• Equity.

• Comprehensive benefits package.

• Equal opportunity employer.

• Inclusive work environment.