About the role#
NVIDIA Research is looking for PhD students to join our team at the intersection of AI hardware and software co-design, accelerator architecture, and VLSI design. You will work on projects involving machine learning fundamentals, digital circuits for computer arithmetic, and automated design methodologies. This role focuses on advancing research in AI accelerators and high-impact workloads.
What you'll do#
- Contribute to research that advances the design of accelerators for AI and other high-impact workloads.
- Research innovative ASIC and VLSI design techniques or novel digital circuits.
- Apply machine learning and agentic AI to automated ASIC and VLSI design tool flows.
- Develop numerical methods for quantization, sparsity, or tensor decomposition based on computer arithmetic and digital VLSI.
- Collaborate with AI researchers and hardware teams on the development of research prototype testchips.
- Plan to publish and present your original research.
What you'll need#
- Currently pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- A publication record in leading ML, architecture, VLSI, or circuits conferences.
- Strong programming skills in Python and PyTorch.
- Experience with hardware design languages like SystemVerilog or C++.
- Proficiency with modern EDA tool flows and hardware design.
- Experience with High-Level Synthesis tools or tapeouts is a plus.
- Ability to work effectively in a research team with strong verbal and written communication skills.
Location & details#
- Location: Santa Clara, California.
- This is a full-time, on-site internship.
- Compensation: 38 USD to 94 USD per hour, depending on experience and education level.
- Applications will be accepted until November 3, 2026.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
