Senior Applied Research Scientist - Computational Geometry and Meshing at NVIDIA
About the role
Industrial simulation depends on turning product and device geometry into valid, efficient discretizations. This role will advance computational geometry, meshing, simulation-ready representations, and AI-native algorithms for NVIDIA GPU platforms. We are looking for an applied researcher who can build methods that move design data reliably from CAD to simulation. You will develop geometry, meshing, and discretization algorithms that improve robustness, numerical accuracy, and end-to-end perfor…
Interview process at NVIDIA
Deep technical, domain-heavy. Coding rounds are LeetCode medium-to-hard; expect CUDA/GPU/parallelism questions for infra roles and low-level systems questions for driver/compiler roles.
- Recruiter screen (30 min)
- Hiring manager technical (45-60 min, 1 coding + domain probing)
- Full loop: 4-5 rounds - 2 coding, 1 domain deep-dive (CUDA/parallel/ML/systems depending on role), 1 design, 1 behavioral
- Cross-team panel
- Offer
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types NVIDIA interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.