Solutions Architect - Drug Discovery at NVIDIA
About the role
NVIDIA is seeking a Senior Solutions Architect to help redefine drug discovery and biological research through GPU-accelerated AI. This role will focus on enabling pharmaceutical and techbio customers to train, optimize, and deploy large biological foundation models using NVIDIA’s accelerated computing platform, models and libraries. Our Solutions Architects are elite developers, scientists, and technical leaders who thrive at the intersection of science, AI, and customer engagement. As a trust…
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.