Senior Developer Technology Engineer, High-Performance Databases

NVIDIA•Us, CA

4d•Hybrid

About The Position

NVIDIA is seeking a Senior Developer Technology Engineer for High-Performance Databases. This role involves researching new algorithms and memory management techniques to accelerate databases on modern computer architectures, investigating hardware and system bottlenecks, and optimizing the performance of data-intensive applications. The Developer Technology Team invites interested candidates to join them in working on the leading edge of technology with significant visibility and impact.

Requirements

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.

Nice To Haves

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.

Responsibilities

Research and develop techniques to GPU-accelerate high performance database and ETL applications.
Perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures, working directly with other technical experts.
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.
Investigate performance of customer applications, design parallel algorithms and implement optimizations in a GPU accelerated computing environment.
Publish findings in developer blogs or at relevant conferences and workshops.
Contribute valuable application expertise that influences next generation hardware and software products.
Deepen expertise, expand knowledge, and work across domains and organizations as critical problem solvers.