Solutions Architect for High-Performance Databases

NVIDIA is seeking a Solutions Architect for High-Performance Databases to research new algorithms and memory management techniques to accelerate databases on modern computer architectures.

You will:

• Research and develop techniques to GPU-accelerate high-performance database, ETL, and data analytics applications.
• Work directly with technical experts to analyze and optimize complex data-intensive workloads.
• Influence the design of next-generation hardware architectures, software, and programming models.
• Collaborate with partners to push the bounds of data processing with NVIDIA's full product line.

Requirements:

• Master's or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience.
• 8+ years of 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, data analytics, and/or vector database.
• Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Nice to have:

• Experience optimizing/implementing database operators or query planner, especially for parallel or distributed frameworks.
• Background with optimizing vector database index build and/or search.
• Experience profiling and optimizing CUDA kernels.
• Background with compression, storage systems, networking, and distributed computer architectures.

Salary: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. Benefits and equity are also offered.