NVIDIA 2027 Internships: Ph.D. Research Hardware

Job Title

Ph.D. Research Hardware Intern — NVIDIA 2027 Internship

Role Summary

Internship on NVIDIA research hardware teams to develop novel circuit and VLSI design approaches, ASIC development, and advanced EDA methodologies. Work focuses on producing prototypes, papers, patents, and transferring research into product teams.

Experience Level

Entry-level internship. Targeted at early-career researchers and graduate students; no specific years of professional experience required.

Responsibilities

Contribute to research and development projects in hardware and EDA, collaborating with internal teams and external researchers to produce demonstrable results.

• Design and implement novel circuit and VLSI techniques, including ASIC development and advanced EDA workflows.
• Collaborate with team members, product groups, and external researchers.
• Transfer research outcomes to product teams; deliver prototypes, patents, or production-ready designs.
• Publish original research and present results at conferences or in internal forums.
• Use simulation, verification, and CAD/EDA toolchains to validate designs and methodologies.

Requirements

Technical skills and research experience required or commonly expected for placements in this internship program.

• Strong background in research; evidence such as publications at peer-reviewed conferences or patents.
• Programming and scripting: Python, C, C++, Perl, MATLAB; experience with CUDA is valuable.
• Hardware description languages and verification: Verilog, SystemVerilog.
• Experience with CAD/EDA tool packages (examples: Cadence, Synopsys, HFSS) and GPU-accelerated EDA workflows.
• Familiarity with ML frameworks (e.g., PyTorch) and hardware/software co-design for ML accelerators is useful.
• Excellent written and verbal communication and collaboration skills.
• Research areas of interest include circuit design, PLLs/clocking, SerDes/high-speed signaling, integrated photonics, SRAM and memory design, power delivery, hardware security, ASIC/VLSI design techniques, ML accelerators, and EDA innovations.

Education Requirements

Must be actively enrolled in a Ph.D. program in Computer Science, Electrical Engineering, or a related field for the full duration of the internship. Anticipated graduation month and year must be indicated on the resume or CV.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.