Senior Developer Technology Engineer, High-Performance Databases

NVIDIA Ltd.
New York, NY, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$152,000.0 - $287,500.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis C++ (Programming Language) Nvidia CUDA Computer Programming Databases Computer Engineering Extract Transform Load (ETL) Database Applications Distributed Data Store Memory Management OpenMP Operational Databases
+8 more
Software Engineering Subsystems System Software Graphics Processing Unit (GPU) Apache Spark Parallel Computation Information Technology Data Analytics

Job description

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., * In this role, you will 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
  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

  • 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.

Benefits & conditions

4.24.2 out of 5 stars 41 E 11th St, New York, NY 10003 Hybrid work $152,000 - $287,500 a year - Full-time, 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 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

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