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Nvidia Solutions Architect Data Processing 
United States, Texas 
158238777

Yesterday
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time type
Full time
posted on
Posted Yesterday
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What you will be doing:

  • In this role, you will research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications.

  • Work directly with other technical experts 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 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

What we need to see:

  • Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience.

  • 8+ years of 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.

Ways to stand out from the crowd:

  • Experienceoptimizing/implementingdatabase operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark).

  • Background with optimizing vector database index build and/or search.

  • Experience profiling and optimizing CUDA kernels.

  • Background with compression, storage systems, networking, and distributed computer architectures.

You will also be eligible for equity and .