Senior Solutions Architect - GPU-Accelerated Data Processing

NVIDIA Corporation

California

Hybrid

USD 214,000 - 357,000

Full time

14 days+

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Job summary

NVIDIA Corporation seeks a Solutions Architect for High-Performance Databases to drive GPU-accelerated data workloads across modern architectures. You will research, develop and optimize techniques for database, ETL and analytics tasks, working with cross-disciplinary teams to push hardware/software boundaries.

The role emphasizes deep knowledge of CPU/GPU memory systems, parallel programming, and domain expertise in HPC databases.

Qualifications

Masters or PhD in Computer Science, Computer Engineering, or related field.
8+ years of experience in relevant area.
Fluency in C/C++ with strong algorithms and software design.
Hands-on experience with low-level parallel programming (CUDA preferred).
Deep knowledge of CPU/GPU architecture and memory subsystems.
Domain expertise in high-performance databases, ETL, analytics.

Responsibilities

Research and develop techniques to GPU-accelerate high-performance databases, ETL and analytics workloads.
Collaborate with research, hardware, and software teams to optimize performance on NVIDIA GPUs.
Influence future hardware and software design in data processing workloads.
Engage with industry/academia partners to push data processing capabilities.