Solutions Architect, Data Processing

This is a fully remote position, open to applicants in California.

📋 Description

• Conduct research and develop methodologies to enhance high-performance databases, ETL processes, and data analytics applications through GPU acceleration.

• Collaborate with technical experts from both industry and academia to perform comprehensive analysis and optimization of complex, data-intensive workloads, ensuring optimal performance of the latest GPU architectures.

• Shape the design of future hardware architectures, software, and programming models in partnership with research, hardware, system software, libraries, and tools teams at NVIDIA.

• Engage with partners in both industry and academia to expand the capabilities of data processing using NVIDIA’s complete product offerings.

⛳️ Requirements

• A Master’s or PhD in Computer Science, Computer Engineering, or a related computational science discipline, or equivalent experience.

• Proficiency in programming with C/C++, along with a solid understanding of algorithms and software design principles.

• Practical experience in low-level parallel programming, such as CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc.

• Comprehensive knowledge of CPU/GPU architecture fundamentals, particularly the memory subsystem.

• Specialized expertise in high-performance databases, ETL, data analytics, and/or vector databases.

• Strong communication and organizational abilities, with a methodical approach to problem-solving and effective prioritization skills.

🏝️ Benefits

• Equity

• Benefits