Research Scientist, Fundamental Generative AI - New College Grad 2026 - CA, Santa Clara, United States
$168,000 - $264,500 USD yearly
Originally posted 29 September 2026 by the employer.
About the role
This role involves fundamental generative AI research within NVIDIA Research, focusing on advancing generative AI methods for text, image, video, 3D, or scientific applications (GenAI4Science).
What you'll do
- Research, design, and implement novel, large-scale generative AI methods.
- Publish original research.
- Collaborate with team members and product teams.
- Speak at conferences and events.
- Transfer technology to product groups.
What you'll need
- Completing or recently completed a Ph.D. in Computer Science/Engineering, Statistics.
- Excellent knowledge of the theory and practice of generative AI.
- Experience in building generative models for text, image, 3D, video, multimodal, biology, chemistry, or material science data.
- Excellent programming skills in prototyping environments such as Python; C++ and parallel programming (e.g., CUDA).
- Knowledge of deep learning frameworks, such as PyTorch.
- Outstanding research track record.
Skills: generative AI, deep learning frameworks, PyTorch, Python, CUDA
This role has been open 0 days — well below the 71-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
501
|
Median days open
71 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (501 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 84 | 501 |
| Open roles in the wider Software, Firmware & Systems family | 971 | 5943 · 145 employers |
| Median days open | 68 d | 71 d (−3 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Skills observed across this category: generative AI, deep learning frameworks, PyTorch, Python, CUDA
Who's hiring in this category
- Qualcomm · 106 open roles · median 104 d
- NVIDIA (this employer) · 81 open roles · median 67 d
- AMD · 42 open roles · median 64 d
- Micron Technology · 29 open roles · median 54 d
- Mobileye · 20 open roles · median 67 d
- Analog Devices · 14 open roles · median 33 d
How we counted: 501 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 30 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.