Senior Solutions Architect, GPU Data Processing

Nvidia Corporation in; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Solutions Architect for Data Processing (Finance) to research and develop GPU-accelerated techniques for databases, ETL, and analytics.

You will work with NVIDIA teams to optimize data-intensive workloads, influence future hardware/software models, and collaborate with industry and academia to push the bounds of data processing on modern architectures. Equity and full benefits accompany the role.

Qualifications

• Masters or PhD in Computer Science or Computer Engineering or related field.
• 8+ years of experience in systems and data processing.
• Fluency in C/C++ with strong algorithms knowledge.
• Hands-on experience with low-level parallel programming and GPU acceleration.

Responsibilities

• Research and develop GPU-accelerated techniques for high-performance databases, ETL, and data analytics.
• Collaborate with researchers and engineers to optimize complex data-intensive workloads.
• Influence hardware/software design and programming models with NVIDIA teams.
• Engage industry/academic partners to advance data processing capabilities.

Skills

C/C++ programming

Parallel programming

CPU/GPU architecture

Data processing databases

Communication skills

Education

Masters or PhD in CS/CE

Tools

CUDA

OpenACC

OpenMP

MPI

Job description

NVIDIA is seeking a Senior Solutions Architect for Data Processing (Finance) to research and develop GPU-accelerated techniques for databases, ETL, and analytics.

You will work with NVIDIA teams to optimize data-intensive workloads, influence future hardware/software models, and collaborate with industry and academia to push the bounds of data processing on modern architectures. Equity and full benefits accompany the role.