NVIDIA
Senior Developer Technology Engineer, High-Performance Databases
NVIDIA, California, Missouri, United States, 65018
Overview
NVIDIA is seeking a Senior Developer Technology Engineer for High-Performance Databases. Join to apply for the Senior Developer Technology Engineer, High-Performance Databases role at NVIDIA. 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? If so, the Developer Technology Team invites you to consider this opportunity. What You Will Be Doing
Research and develop techniques to GPU-accelerate high performance database and ETL applications. Work with technical experts in industry and academia to analyze and optimize complex data intensive workloads for best possible performance on 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. What We Need To See
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. 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. Data Analytics is a growing field in GPU-accelerated computing. Data preprocessing and data engineering are increasingly CPU based and can become bottlenecks for ML and DL applications. NVIDIAs Devtech team has worked on open-source projects such as NVIDIA nvcomp, NVIDIA Distributed join, and NVIDIA cuCollections. Your base salary will be determined based on location, experience, and market compensation for similar roles. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 6, 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We value diversity in our current and future employees and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr
NVIDIA is seeking a Senior Developer Technology Engineer for High-Performance Databases. Join to apply for the Senior Developer Technology Engineer, High-Performance Databases role at NVIDIA. 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? If so, the Developer Technology Team invites you to consider this opportunity. What You Will Be Doing
Research and develop techniques to GPU-accelerate high performance database and ETL applications. Work with technical experts in industry and academia to analyze and optimize complex data intensive workloads for best possible performance on 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. What We Need To See
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. 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. Data Analytics is a growing field in GPU-accelerated computing. Data preprocessing and data engineering are increasingly CPU based and can become bottlenecks for ML and DL applications. NVIDIAs Devtech team has worked on open-source projects such as NVIDIA nvcomp, NVIDIA Distributed join, and NVIDIA cuCollections. Your base salary will be determined based on location, experience, and market compensation for similar roles. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 6, 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We value diversity in our current and future employees and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr