Senior Developer Technology Engineer, High-Performance Databases

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Spark @ 4 ETL @ 4 Algorithms @ 4 Machine Learning @ 4 Communication @ 4 Data Engineering @ 4 Networking @ 4 Parallel Programming @ 4 Prioritization @ 4 CUDA @ 4 GPU @ 4

Details

NVIDIA is currently seeking a Senior Developer Technology Engineer for High-Performance Databases.

Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the leading edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Developer Technology Team invites you to consider this opportunity.

Responsibilities

  • Research and develop techniques to GPU-accelerate high performance database and ETL applications.
  • Work directly with technical experts in 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

  • Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
  • At least 6+ 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 such as CUDA, OpenACC, OpenMP, MPI, pthreads, TBB.
  • 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.

Ways to Stand Out

  • Experience optimizing the performance of distributed database systems and frameworks (e.g., production databases or Spark).
  • Background with compression, storage systems, networking, and distributed computer architectures.

Additional Information

Data Analytics is a rapidly growing field in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and have become bottlenecks for Machine Learning and Deep Learning applications. Many applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, and parallel algorithms (sort, search, join, aggregation, groupby), scaling up to multi GPU systems, and scaling out to many nodes.

Some open source projects the team has contributed to include NVIDIA nvcomp, NVIDIA Distributed join, and NVIDIA cuCollections.

The base salary range is 184,000 USD - 356,500 USD. Salary is determined based on location, experience, and pay of employees in similar positions. The employee will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate based on any protected characteristics.

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