NVIDIA
·Artificial Intelligence
Advance computational geometry, meshing, and AI-native algorithms for NVIDIA GPU platforms. Build methods that move design data reliably from CAD to simulation across CAE, EDA, semiconductor, and scientific-computing workflows.
PhD or equivalent experience in computer science, computational geometry, scientific computing, graphics, applied mathematics, computational mechanics, engineering, or related field
5+ years of experience in computational engineering
Background in computational geometry, geometry processing, mesh generation, adaptive discretization, CAD and CAE algorithms, or simulation-ready representations
C++ and Python skills with experience building algorithms for sophisticated geometry
Understanding of boundary representations, topology, mesh quality, discretization error, numerical robustness, and solver requirements
Build algorithms for computational geometry, CAE and design interoperability, mesh generation, mesh adaptation, spatial data structures, and curved discretization
Investigate differentiable geometry, AI-native geometry processing, learning-based meshing and discretization, and design-to-simulation workflows
Explore solver- and hardware-aware geometry and discretization methods optimizing mesh quality, numerical accuracy, robustness, and simulation efficiency
Define benchmarks for mesh quality, geometry conversion, discretization accuracy, robustness, downstream solver impact, and end-to-end simulation performance
Collaborate with teams across Omniverse, OpenUSD, Warp, solver engineering, NVIDIA Research, universities, and industrial partners
Posting is for an existing vacancy
Applications accepted at least until August 21, 2026
NVIDIA uses AI tools in its recruiting processes
NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment
Base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5