INTERNSHIP DETAILS

Accelerated Compute Systems Performance Architect Intern - 2027

CompanyNVIDIA
LocationShanghai
Work ModeOn Site
PostedSeptember 5, 2026
Internship Information
Core Responsibilities
The intern will perform in-depth analysis and optimization of NVIDIA GPU performance while collaborating with hardware and software teams. They will also contribute to technical documentation, including white papers, blog posts, and patent applications.
Internship Type
full time
Company Size
51790
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
About the Role

We are now looking for an Accelerated Computing Architect intern. NVIDIA is developing software and hardware system architectures for accelerated high performance computing, scientific computing, machine learning, artificial intelligence, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.

What you'll be doing:

  • Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.

  • Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.

  • Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.

  • Diving into accelerated computing applications to facilitate software-hardware co-design.

  • Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.

What we need to see:

  • Pursuing B.Sc., M.Sc., or Ph.D. in relevant discipline (CS, EE, CE).

  • A passion for performance analysis and optimization.

  • Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.

  • Solid background in GPU and computer systems architecture.

  • Strong knowledge of C and C++ with a solid understanding of software design, programming techniques, and algorithms.  Familiarity with Python is a plus.

  • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of pushing an architecture to its limits? If so, we want to hear from you.

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.

Key Skills
Performance AnalysisGPU ArchitectureCUDAOpenCLCC++PythonMPIOpenSHMEMNVSHMEMComputer Systems ArchitectureSoftware DesignAlgorithmsParallel ProgrammingHardware-Software Co-design
Categories
TechnologySoftwareEngineeringScience & ResearchData & Analytics