Senior Accelerated Computing Architect

NVIDIA is hiring a Senior Accelerated Computing Architect in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions CUDA, Opencl and Mpi among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

Perform in-depth performance analysis and architecture optimization for accelerated computing and machine learning on NVIDIA GPUs.

cudaopenclmpicpython

performance-optimizationaccelerated-computingparallel-algorithmshardware-software-co-design

We are now looking for a Senior Accelerated Computing Architect!

NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, 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.
Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for 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:

An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience
6+ years of relevant work experience
Strong mathematical fundamentals, including linear algebra and numerical methods.
A passion for performance 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.
Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms. Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus.
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 hard-working and dedicated 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.

How we rate this

Senior Accelerated Computing Architect at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Accelerated Computing Architect is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in China, Shanghai.
The job was posted on July 13, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Performance OptimizationAccelerated ComputingParallel AlgorithmsHardware Software Co DesignCUDAOpenclMpiC

Questions you could be asked

Tell me about a project where performance optimization was part of your work. What did you do?
Tell me about a project where accelerated computing was part of your work. What did you do?
Tell me about a project where parallel algorithms was part of your work. What did you do?
Tell me about a project where hardware software co design was part of your work. What did you do?
Walk me through how you've used CUDA in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Performance Optimization, Accelerated Computing, Parallel Algorithms, Hardware Software Co Design, and CUDA. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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