Nvidia Solutions Architect Data Processing - New College Graduate 

United States, Texas 

873957634

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.

• 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).

• Experience optimizing vector database index build and/or search.

• Experience profiling and optimizing CUDA kernels.

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