NVIDIA 2027 Internships: Ph.D. Research Hardware

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Collaboration"]

Design and implement novel circuit and VLSI approaches, including ASIC development and advanced EDA methodologies. Partner with internal teams and external researchers, then transfer research into product groups to enable new products through prototypes, patents, and publications. Deliver collaborative, research-driven outcomes across areas such as circuit design, clocking, high-speed signaling, integrated photonics, SRAM/memory, power delivery, and hardware security.

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NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Internships: Ph.D. Research Hardware

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Job Summary

Design and implement novel circuit and VLSI approaches, including ASIC development and advanced EDA methodologies. Partner with internal teams and external researchers, then transfer research into product groups to enable new products through prototypes, patents, and publications. Deliver collaborative, research-driven outcomes across areas such as circuit design, clocking, high-speed signaling, integrated photonics, SRAM/memory, power delivery, and hardware security.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Design and implement novel approaches to circuit and VLSI design, including ASIC development and advanced EDA methodologies.
  • •Collaborate with team members, other teams, and/or external researchers on research and development work.
  • •Transfer research outcomes to product groups to enable new products or new product types.
  • •Produce deliverables such as prototypes, patents, and/or original published research.
  • •Work on research areas such as circuit design, PLLs/clocking, SerDes/high-speed signaling, integrated photonics, SRAM/memory, power delivery, security circuits, and high-speed logical design.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Actively enrolled in a university pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field for the full internship duration.
  • •Anticipated graduation month and year must be clearly indicated on your resume or CV.
  • •Programming/technology familiarity may include Python, C/C++, Perl, MATLAB, CUDA, Verilog, SystemVerilog, and ML frameworks such as PyTorch.
  • •Experience with CAD/EDA tooling (e.g., Cadence, Synopsys, HFSS) and/or advanced EDA methodologies.
  • •Strong research background with publications at top conferences and/or patents, plus excellent communication and collaboration skills.
Education:PhD / Doctorate
Skills:CommunicationCollaboration
Tech Stack:PythonCC++PerlMATLABCUDAVerilogSystemVerilogCadenceSynopsysHFSSPyTorchEDA toolsASICVLSIEDA methodologies

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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