Senior Applied Research Scientist - AI Native Numerical Methods at NVIDIA
About the role
At NVIDIA, we are using accelerated computing and machine learning to create a new generation of AI-native scientific, engineering, and industrial simulation. We are seeking an applied researcher who can connect machine learning with numerical algorithms to make solvers faster, more reliable, and more efficient. This work focuses on ML methods inside and around numerical solvers, including AI-guided multigrid, solver-in-the-loop learning, differentiable simulation integrated with AI algorithms,…
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.