NVIDIA

Senior Technology Engineer, High-Performance Databases

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $148,000 - $287,500 per year

Job Level

Senior

Tech Stack

ETLSpark

About the role

  • Research and develop techniques to GPU-accelerate high performance database and ETL 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.
  • Contribute to and leverage open-source projects (NVIDIA nvcomp, NVIDIA Distributed join, NVIDIA cuCollections).

Requirements

  • A Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
  • At least 5+ years of relevant work or research 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, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
  • In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem.
  • Domain expertise in high performance databases, ETL and data analytics
  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
  • Experience optimizing the performance of distributed database systems and frameworks (e.g. production database or Spark).
  • Background with compression, storage systems, networking, and distributed computer architectures.