Solutions Architect, Data Processing

Job Description:

• Research and develop techniques to GPU-accelerate high performance database, ETL and data analytics 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.
• Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line.

Requirements:

• Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent 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 (preferred), 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.

Benefits:

• equity
• benefits