GPU-Accelerated Data Processing Solutions Architect

NVIDIA; Town of Texas (WI); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking a Solutions Architect for High-Performance Databases to research and develop techniques to GPU-accelerate databases and data analytics applications on modern architectures. You will collaborate with experts to optimize workloads and influence future hardware and software design across NVIDIA's teams.

Lead efforts in CPU/GPU memory subsystems, latency reduction, and scalable vector database work, while communicating clearly with internal and external partners to push the state

Qualifications

• Masters 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 (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.

Responsibilities

• In this role, you will 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

Skills

C/C++ programming

CUDA

OpenMP

MPI

Pthreads

TBB

CPU/GPU architecture

Memory subsystem

High-performance databases

Data analytics

Vector databases

Communication skills

Education

Master's or PhD in Computer Science or Computer Engineering

Tools

CUDA toolkit

OpenACC

OpenMP

MPI

Pthreads

TBB

Job description

NVIDIA is seeking a Solutions Architect for High-Performance Databases to research and develop techniques to GPU-accelerate databases and data analytics applications on modern architectures. You will collaborate with experts to optimize workloads and influence future hardware and software design across NVIDIA's teams.

Lead efforts in CPU/GPU memory subsystems, latency reduction, and scalable vector database work, while communicating clearly with internal and external partners to push the state