NVIDIA 2027 Internships: Computer Architecture
NVIDIAJob Title
NVIDIA 2027 Internships: Computer Architecture
Role Summary
12-week, full-time internship on NVIDIA's Computer Architecture teams. Interns work on projects that contribute measurable results to GPU/CPU architecture, memory systems, performance analysis, or related areas.
Students will implement hardware/software experiments, run performance analysis, and collaborate with engineering teams to prototype or evaluate architecture ideas. Hourly pay range: USD 20–71.
Experience Level
Entry-level internship for current university students (B.S., M.S., or Ph.D.). Intended for students actively enrolled and available for the full duration of the 12-week internship.
Responsibilities
Typical responsibilities vary by assignment; common tasks include:
- Design, implement, or validate hardware or microarchitecture features (RTL, models, or simulations).
- Develop and run performance models, benchmarks, and experiments to evaluate architecture trade-offs.
- Prototype or optimize software components (CUDA, drivers, or system software) for GPU/CPU workloads.
- Analyze results and present findings to engineering teams, iterating on designs and tests.
- Collaborate with cross-functional teams and follow engineering workflows (version control, code reviews).
Requirements
Core technical skills and experience expected for consideration. Education requirements are listed separately below.
- Relevant coursework or internship experience in Digital Systems, VLSI, Computer Architecture, Computer Organization, Computer Arithmetic, or related topics.
- Experience or interest in one or more focus areas: Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or High-Performance Computing.
- Proficiency with programming and tooling such as C/C++, Python, Linux, and version control (Git, Perforce).
- Exposure to hardware description languages and hardware flow is valued: Verilog, SystemVerilog, or VHDL.
- Familiarity with GPU programming and acceleration (CUDA, OpenCL) and parallel libraries (MPI, OpenMP) is beneficial.
- Effective communication skills and ability to work in a team-driven engineering environment.
Education Requirements
Must be actively enrolled in a B.S., M.S., or Ph.D. program in Electrical Engineering, Computer Engineering, or a related field for the full duration of the internship. Anticipated graduation date (month and year) must be indicated on the resume/CV. Equivalent related academic programs are acceptable.
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.
