Internship Opportunities 2026 at NVIDIA

NVIDIA PhD Hardware Research Internship 2026

Are you a visionary PhD researcher ready to redefine the limits of accelerated computing alongside the pioneers of AI and digital twins? The NVIDIA 2026 PhD Hardware Research Internship offers a phenomenal opportunity to translate your groundbreaking academic work into next-generation ASIC and VLSI products. Step into the epicenter of technological innovation in Santa Clara to design novel circuitry, collaborate with world-class engineers, and leave a lasting mark on industries ranging from life-saving healthcare to self-driving cars.

Particulars & Details

About the Role & Work Environment

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Their work in AI and digital twins is transforming the world's largest industries and profoundly impacting society—from gaming to robotics, self-driving cars to life-saving healthcare, and climate change to virtual worlds. By submitting your resume to this requisition, you are expressing interest in NVIDIA's 2026 Hardware-focused Research Internships. This is an unparalleled opportunity to expand your career and get hands-on experience with one of the industry's leading hardware engineering teams.

Duties and Responsibilities

• Design and implement novel approaches to circuit and VLSI design, including comprehensive ASIC development.
• Develop and optimize advanced Electronic Design Automation (EDA) methodologies.
• Collaborate seamlessly with internal team members, cross-functional teams, and external academic researchers.
• Successfully transfer your research to product groups to enable new, groundbreaking products or types of products.
• Deliver tangible results including functional prototypes, patents, production-ready designs, and original published research.

Eligibility Criteria & Qualifications

• Educational Status: You must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a closely related field for the entire duration of the internship.
• Technical Skills: Strong prior experience or knowledge involving SystemVerilog, CAD tool packages (e.g., Cadence, Synopsys, HFSS), ML Frameworks (e.g., PyTorch), and EDA tools.
• Research Background: A strong, demonstrable background in research, specifically highlighted by publications at top-tier conferences and/or registered patents.
• Core Competencies: Excellent communication and collaboration skills are strictly required to bridge the gap between research and product development.

Key Research Areas

Potential internships require deep research experience in at least one of the following hardware domains:

• Circuit Design: PLLs and Clocking Circuits, SerDes and High-Speed Signaling, Integrated Photonics and Optical Interconnects, SRAMs/Memory Design and Cache Architectures, Power Delivery/Regulation, Security Circuits, High-Speed Logical Design, and Novel Digital VLSI Circuits.
• ASIC and VLSI: Advanced ASIC/VLSI Design Techniques, ML Accelerators, GPU-accelerated EDA, and Agents for Hardware Design.

Remuneration & Benefits

• Competitive Hourly Rate: Interns are paid a standard hourly rate based on position, location, year in school, degree, and experience. The pay scale for this PhD role ranges from $30 USD to $94 USD per hour.
• Intern Benefits: Selected candidates will also be fully eligible for NVIDIA's comprehensive intern benefits package.

How to Apply

1. Navigate to the official NVIDIA Careers portal using the link provided below.
2. Search for Job Requisition ID JR2003247 to locate the "2026 Internships: PhD Hardware Research - US" position.
3. Ensure your resume strongly emphasizes your PhD research, specific hardware/EDA tools, ML framework proficiencies, and publication history.
4. Upload your resume strictly in English and submit your application online. Resumes are reviewed on an ongoing basis.

Important Links

• Apply Online: Click Here to Submit Application
• NVIDIA Research: Learn more about NVIDIA Research

FAQs

• Where is this internship located? The primary location is Santa Clara, California, US, along with one other unspecified location.
• Do I need to be a PhD student? Yes, active enrollment in a PhD program (Computer Science, Electrical Engineering, or related) for the entire duration of the internship is mandatory.
• What is the pay rate for this internship? The hourly rate ranges from $30 USD to $94 USD, depending on your location, degree, and experience.
• When is the deadline to apply? Applications are accepted on a rolling, ongoing basis, so early application is highly recommended.

Disclaimer: This opportunity is shared for informational purposes only. We at 99jobs.org are not the organizing or recruiting institution. We do not accept or process applications and cannot influence selection decisions. Applicants must apply directly through the official organization website. Please verify all details from the official source before applying.

Also check:
NVIDIA AI Research Internship Summer 2026