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NVIDIA

Accelerated Compute Systems Performance Architect Intern - 2027 - Shanghai, China

NVIDIA China, Shanghai, China Internship 1 month ago
AI/ML Hardware

Originally posted 5 September 2026 by the employer — open 16 days.

About the role

What you'll do

  • Analyze the interplay of hardware and software architectures on core algorithms, programming models, and applications.
  • Write and present work via white papers, conference publications, blog posts, or patent applications.

What you'll need

  • Pursuing B.Sc., M.Sc., or Ph.D. in Computer Science, Electrical Engineering, or Computer Engineering.
  • Experience with the massively parallel GPU programming model, such as CUDA or OpenCL.
  • Solid background in GPU and computer systems architecture.
  • Strong knowledge of C and C++ with understanding of software design, programming techniques, and algorithms.

Nice to have

  • Familiarity with APIs for multi-node communication, such as MPI or OpenSHMEM/NVSHMEM.
  • Familiarity with Python.

Skills: GPU, accelerated computing, performance analysis, hardware architecture, CUDA

Market context

This role has been open 16 days — well below the 67-day median for AI/ML Hardware Engineering roles.

AI/ML Hardware Engineering · AI ML Hardware

Open roles in category
516
Median days open
67 d
Median salary
$232k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How NVIDIA compares in AI/ML Hardware Engineering hiring
Metric NVIDIA All employers we track in this specialty (516 roles · 76 employers)
Open roles in this specialty 86 516
Open roles in the wider Software, Firmware & Systems family 957 5829 · 143 employers
Median days open 67 d 67 d (same as this employer)
Median salary (USD postings) — $232k

Skills observed across this category: GPU, accelerated computing, performance analysis, hardware architecture, CUDA

Who's hiring in this category

  • Qualcomm · 106 open roles · median 99 d
  • NVIDIA (this employer) · 85 open roles · median 67 d
  • AMD · 43 open roles · median 62 d
  • Micron Technology · 32 open roles · median 39 d
  • Mobileye · 25 open roles · median 53 d
  • Analog Devices · 14 open roles · median 24 d

How we counted: 516 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 21 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
China, Shanghai, China
On-site
Internship
1 month ago

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