Senior Applied Research Scientist, Multimodal Foundation Models - Healthcare at NVIDIA
About the role
NVIDIA is redefining healthcare through accelerated computing and AI. We are seeking passionate researchers to advance longitudinal multimodal foundation models for healthcare. Recent progress in medical AI has improved the interpretation of individual images and clinical records, but many significant healthcare decisions depend on understanding how a patient’s condition changes over time. This role will explore models that learn from longitudinal medical imaging, electronic health records, lab…
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.