Jobs · Engineering · California

Senior Developer Technology Engineer, High-Performance Databases

NVIDIA · Santa Clara, CA · 2 wk ago
HybridEngineeringFull-time

About the role

The Developer Technology Team at NVIDIA is seeking a Senior Developer Technology Engineer to research and develop techniques to GPU-accelerate high performance database and ETL applications. This role involves working closely with other technical experts to analyze and optimize complex data-intensive workloads.

Responsibilities

  • 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.

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.

Qualifications

  • 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.

Skills

  • Data Analytics is one of the rapidly growing fields in GPU accelerated computing.
  • Complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes.

Benefits

  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • The base salary range is $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4.
  • You will also be eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4.

Schedule

NVIDIA does not specify the schedule for this position.

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