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Accelerated Compute Systems Performance Architect Intern - 2026

at Nvidia

Back to all C/C++ jobs
N
Industry not specified

Accelerated Compute Systems Performance Architect Intern - 2026

at Nvidia

InternshipNo visa sponsorshipC/C++/C#

Posted 7 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Shanghai
Country
China

NVIDIA is seeking an Intern to analyze and optimize performance on current and next-generation GPUs, exploring hardware-software interactions and guiding accelerated computing direction. You will collaborate with hardware, software, product and research teams to guide the direction of accelerated computing, dive into accelerated computing applications for software-hardware co-design, and document your findings in white papers, conference publications, official blog posts, or patent applications as appropriate. The role emphasizes hands-on GPU programming, performance analysis and optimization (with C/C++), strong software design skills, and excellent communication to share results with technical and non-technical audiences. This internship offers the opportunity to contribute to high-performance computing, AI, data centers, and automotive computing initiatives at NVIDIA.

We are now looking for an Accelerated Computing Architect. 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.

Accelerated Compute Systems Performance Architect Intern - 2026

at Nvidia

Back to all C/C++ jobs
N
Industry not specified

Accelerated Compute Systems Performance Architect Intern - 2026

at Nvidia

InternshipNo visa sponsorshipC/C++/C#

Posted 7 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Shanghai
Country
China

NVIDIA is seeking an Intern to analyze and optimize performance on current and next-generation GPUs, exploring hardware-software interactions and guiding accelerated computing direction. You will collaborate with hardware, software, product and research teams to guide the direction of accelerated computing, dive into accelerated computing applications for software-hardware co-design, and document your findings in white papers, conference publications, official blog posts, or patent applications as appropriate. The role emphasizes hands-on GPU programming, performance analysis and optimization (with C/C++), strong software design skills, and excellent communication to share results with technical and non-technical audiences. This internship offers the opportunity to contribute to high-performance computing, AI, data centers, and automotive computing initiatives at NVIDIA.

We are now looking for an Accelerated Computing Architect. 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.

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