NVIDIA 2026 Internships: PhD Hardware Research - Full-time / Part-time

divdivpbispanBy /spanspansubmitting/spanspan your resume, /spanspanyou’re/spanspan expressing interest in one of our 2026 Hardware focused Research Internships. /spanspanWe’ll/spanspan review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities./span/ispan /span/b/p/divdivpspan /span/p/divdivpspanspanNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world#39;s largest industries and profoundly /spanspanimpacting/spanspan society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create./span/spanspan /span/p/divdivpspan /span/p/divdivpspanspanOur internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams. /spanspanWe’re/spanspan /spanspanseeking/spanspan strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve./span/spanspan /span/p/divdivpspan /span/p/divdivpspanspanLearn more about /span/spana href="https://www.nvidia.com/en-us/research/" target="_blank"uspanResearch at NVIDIA/span/u/aspanspan./span/spanspan /span/p/divdivpspan /span/p/divdivpbspanWhat you will be doing:/span/bspan /span/p/divdivullipspanspanDesign and implement novel approaches to circuit and VLSI design, including ASIC development and advanced EDA methodologies./span/spanspan /span/p/li/ul/divdivullipspanspanCollaborate with other team members, teams, and/or external researchers./span/spanspan /span/p/li/ul/divdivullipspanspanTransfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research./span/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpbspanWhat we need to see:/span/bspan /span/p/divdivullipspanspanMust be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship./spanspan    /span/spanspan /span/p/li/ul/divdivullipbspanDepending on the internship, prior experience or knowledge requirements could/span/bispan /span/ibspaninclude the following programming skills and technologies: /span/bspan /span/p/li/ul/div/divdivdivullipspanspanPython, C, C#43;#43;, Perl, MATLAB, CUDA, Verilog, /spanspanSystemVerilog/spanspan, CAD tool packages (e.g., Cadence, Synopsys, HFSS), ML Frameworks (e.g., /spanspanPyTorch/spanspan), EDA tools/span/spanspan /span/p/li/ul/divdivullipspanspanStrong background in research with publications at top conferences/spanspan and/or patents./span/spanspan /span/p/li/ul/divdivullipspanspanExcellent communication and collaboration skills./span/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpbspanPotential internships require research experience in at least one of the following areas:/span/bspan /span/p/divp/pdivpspanspanCircuit Design/span/spanspan /span/p/divdivullipspanspanPLLs and Clocking Circuits/span/spanspan /span/p/li/ul/divdivullipspanspanSerDes and High-Speed Signaling/span/spanspan /span/p/li/ul/divdivullipspanspanIntegrated Photonics and Optical Interconnects/span/spanspan /span/p/li/ul/divdivullipspanspanSRAMs, Memory Design, and Cache Architectures/span/spanspan /span/p/li/ul/divdivullipspanspanPower Delivery/Regulation/span/spanspan /span/p/li/ul/divdivullipspanspanSecurity Circuits and Hardware Security/span/spanspan /span/p/li/ul/divdivullipspanspanHigh-Speed Logical Design/span/spanspan /span/p/li/ul/divdivullipspanspanNovel Digital VLSI Circuits/span/spanspan /span/p/li/ulp/p/divdivpspanspanASIC and VLSI/span/spanspan /span/p/divdivullipspanspanASIC and VLSI Design Techniques/span/spanspan /span/p/li/ul/divdivullipspanspanML Accelerators/span/spanspan /span/p/li/ul/divdivullipspanspanHardware/software co-design/span/spanspan /span/p/li/ulp/p/divdivpspanspanElectronic Design Automation/span/spanspan /span/p/divdivullipspanspanGPU accelerated EDA/span/spanspan /span/p/li/ul/div/divdivdivullipspanspanAgent for Hardware Design/span/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanspanClick /span/spana href="http://www.nvidia.com/content/dam/en-zz/Solutions/about-nvidia/careers/UR-Student-Resources.pdf" target="_blank"uspanhere/span/u/abspan /span/bspanspanto learn more about NVIDIA, our early talent programs, benefits offered to students/spanspan and other helpful student resources related to our latest technologies and endeavors./span/spanspan /span/p/div/divp style="text-align:inherit"/pp style="text-align:inherit"/pOur 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 30 USD - 94 USD.amp;#xa;p style="text-align:inherit"/pp style="text-align:left"spanspanYou will also be eligible for Intern/span/spanspanspan /spana href="https://www.nvidia.com/en-us/benefits/interns/" target="_blank"spanspanbenefits/span/span/a. /spanspanspan​/span/span/pp style="text-align:inherit"/pp style="text-align:inherit"/pApplications are accepted on an ongoing basis.amp;#xa;amp;#xa;NVIDIA is committed to fostering a diverse 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.p/pp/p