Applied AI Engineer at NVIDIA
About the role
NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips. Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production — over 200 product SKUs were optimized during the Blackwell generation alone. Now we're rebuilding that toolchain around AI, and we're looking for the engineer to lead that char…
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.