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Manager, Solutions Architecture - Data Processing

NVIDIA· Mgmt, Solutions Architect
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Hybrid (Shanghai), Hybrid (Shenzhen)Full-timePosted 1mo ago

About the role

Solutions Architect Manager role focused on researching and developing GPU-accelerated techniques for data processing applications, leading a data processing SA team, and influencing hardware/software design and industry partnerships.

Responsibilities

  • In this role, you will lead a data processing SA team to research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications and new AI data processing technologies.
  • Work closely in China To4++ in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU/CPU architectures.
  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA
  • Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line

Qualifications

  • Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience.
  • 8+ overall years of experience including 3 years management experience
  • Programming fluency in C/C++ with a deep understanding of algorithms and software design.
  • Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc.
  • In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem.
  • Domain expertise in high performance databases, ETL, data analytics and/or vector database.
  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Skills

Required:C/C++ programmingCUDACPU/GPU architecture fundamentalshigh performance databases / ETL / data analytics
Nice to have:OpenACC/OpenMP/MPI/pthreads/TBB
Last updated Aug 28, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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