NVIDIA 2027 Internships: Ph.D. Research Hardware

By submitting your resume, you acknowledge that your Ph.D. Research Hardware internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service . We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.  NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our 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, climate change to virtual worlds where we can all connect and create.  Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams.   We’re   seeking   strategic, ambitious, hard-working,   collaborative,   and creative individuals who are passionate about helping us tackle challenges no one else can solve.   Learn more about  Research at NVIDIA .

Design and implement novel approaches to circuit and VLSI design, including ASIC development and advanced EDA methodologies.   Collaborate with other team members, teams, and/or external researchers.   Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.   What we need to see:   Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship;   anticipated graduation date ( month and year )   must be clearly indicated on a resume or CV to be considered.           Depending on the internship, prior experience or knowledge requirements could   include the following programming skills and technologies:    Python, C, C++, Perl, MATLAB, CUDA, Verilog, SystemVerilog, CAD tool packages (e.g., Cadence, Synopsys, HFSS), ML Frameworks (e.g., PyTorch), EDA tools   Strong background in research with publications at top conferences   and/or patents.   Excellent communication and collaboration skills.   Potential internships require research experience in at least one of the following areas:   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 and Hardware Security   High-Speed Logical Design   Novel Digital VLSI Circuits   ASIC and VLSI   ASIC and VLSI Design Techniques   ML Accelerators   Hardware/software co-design   Electronic Design Automation   GPU accelerated EDA   Agent for Hardware Design   Click  here   to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.  Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.
 You will also be eligible for Intern   benefits . ​ Applications are accepted on an ongoing basis. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.