
GPU Software Intern — CUDA Tools
- Salary
- $85k – $98k / year
- Type
- Internship
- Location
- 2788 San Tomas Expy, Santa Clara, CA · San Francisco (California) · Hybrid
- Valid through
- 11/4/2026
Additional details
- Posted
- Posted 2 days ago
- Applications
- 13
- on Ganloss
- Experience
- Intern · student or new grad
- Education
- BS/MS in progress or completed (CS, ML, data, or equivalent projects)
- Region
- California
- Team
- NVIDIA — early talent program
- Company size
- 25000+
- Founded
- 1993
Job description
NVIDIA is hiring a GPU Software Intern — CUDA Tools (Internship) hybrid. This machine learning engineer role is part of the AI hiring market in San Francisco (California). Systems internship improving CUDA tooling and kernel profiling for large-scale training workloads. Listed compensation: $85k – $98k / year. Stack: Internship, CUDA, C++, Deep learning.
Machine Learning Engineer profiles are in high demand in San Francisco: San Francisco and the Bay Area host the largest share of US AI hiring: LLM, MLOps, foundational research, and GenAI products. OpenAI partners, Databricks, Scale AI, and hundreds of…
The team
NVIDIA — early talent program
Responsibilities
- Ship scoped features with mentor review and production-quality tests
- Document experiments, metrics, and learnings for the broader team
- Partner with product and design on user-facing AI capabilities
Requirements
- Enrolled in or recently completed a CS, ML, data, or related program
- Portfolio or coursework in Python, SQL, or modern web stacks
- Clear communication and curiosity about responsible AI in production
Tech stack
Benefits
Hiring process
- 1Recruiter screen (20 min)
- 2Technical conversation or take-home (time-boxed)
- 3Team fit with manager and mentor
- 4Offer
Experience: Intern · student or new grad · Education: BS/MS in progress or completed (CS, ML, data, or equivalent projects)
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FAQ — GPU Software Intern — CUDA Tools
- What is the salary for GPU Software Intern — CUDA Tools at NVIDIA?
- Listed range: $85k – $98k / year (Internship). Packages often include PTO, remote options, and equity depending on the company.
- Where is the GPU Software Intern — CUDA Tools role based?
- 2788 San Tomas Expy, Santa Clara, CA, San Francisco (California). Work mode: Hybrid.
- How do I apply to NVIDIA?
- Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0005. Process: Recruiter screen (20 min) → Technical conversation or take-home (time-boxed) → Team fit with manager and mentor → Offer.
- Is NVIDIA hiring other AI roles?
- NVIDIA (Hardware & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.
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