Senior Solutions Architect, Data Processing

NVIDIA is seeking a Senior Solutions Architect to research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications. The ideal candidate will have a Master's or PhD in Computer Science or related field and 4+ years of experience in low-level parallel programming and CPU/GPU architecture fundamentals.

Requirements

• Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience
• 4+ 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 (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

• Generous Paid Time Off
• 401k Matching
• Retirement Plan