Job Information
Nvidia NVIDIA 2025 Internships: PhD Research in Santa Clara, California
By submitting your resume, you’re expressing interest in one of our 2025 Research I nternship s. We ’ll re view 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. We engineer technology for the da Vincis and Einsteins of our time. 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 work is truly unique . Part science. Part art. Completely rewarding. Every breakthrough helps shape what comes next.
Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Research teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing a PhD degree within a relevant or related field.
Learn more about NVIDIA Research. (https://www.nvidia.com/en-us/research/)
Potential Research Areas for Internships Include:
Autonomous Vehicles
R esearch and/or internship experience related to the following areas could be required : V ehicle/ R obot A utonomy.
Graphics
Research and/or internship experience related to the following areas could be required : N eural R endering, G raphics, G enerative M odeling, L arge L anguage M odels, H uman B ehavior U nderstanding, D igital H uman C reation , I mage B ased M odeling/ R endering, 3D Computer Vision
Computer Vision and Deep Learning
Research and/or internship experience related to the following areas could be required : P ost- T raining M odel O ptimization ( P runing, Q uantization, NAS), E fficient A rchitecture D esign, A daptive/ Dy namic I nference, R esource- E fficient T raining and Fi netuning
Generative AI
Research and/or internship experience related to the following areas could be required : F oundation M odels, I mage G eneration, V ideo G eneration, 3D G eneration, A udio G eneration, D iffusion M odels, M ultimodal ity, Video Understanding .
Robotics
Research and/or internship experience related to the following areas could be required : R obot M an ipulation, R obot C ontrol, 3D C omputer V ision, P hysics- B ased S imulation, H uman- R obot I nteraction, N atural L anguage P rocessing, R einforcement L earning , S im- T o- R eal L earning of R obotic P olicies, E nd-to- E nd L earning of P erception and C on trols, and A gent L earning .
Programming Systems
Research and/or internship experience related to the following areas could be required : Programming S ystems, D istributed C omputing, P arallel C omputing, L arge L anguage M odels, EDA/VLSI, O perating S ystems, Co mpilers , and/or HPC.
Computer Architecture
Research and/or internship experience related to the following areas could be required : ASIC and VLSI D esi gn T echniques, M achine L earning A ccelerator A pproaches, N ovel D igital VLSI C ircuits, M odel C ompression, N etworking A rchitecture , Hardware-Software Co-Design.
Hardware
Research and/or internship experience in one or more area of H igh- P erfor mance C ircuit D esign: PLLs and Cl ocking, SerDES and H igh- S peed S ignaling, P hotonics, SRAMs, P ower D elivery/ R egulation, S ecurity C ircuits, and H igh- S peed L ogic.
What we need to see:
Currently pursuing a PhD degree within Electrical Engineering, Computer Engineering, Computer Science, or a related field
Background in research with publications from top conferences.
Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C, C++, HLSL, CUDA , TensorFlow, PyTorch , Perl , Cadence, S ynopsys , HFSS
Click here (http://www.nvidia.com/content/dam/en-zz/Solutions/about-nvidia/careers/UR-Student-Resources.pdf) 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 .
The hourly rate for our interns is 30 USD - 90 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
You will also be eligible for Intern benefits (https://www.nvidia.com/en-us/benefits/interns/) . NVIDIA accepts applications on an ongoing basis.
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.