NVIDIA
Senior Architect - Data Processing Systems, Analytics and Data Intelligence
$184K–$356K
US, CA, Santa Clara +2 · Senior · Full-time · Posted Oct 16, 2026
- Location
- US, CA, Santa Clara
US, NY, New York
US, Remote - Experience
- 8+ years in distributed data platforms, databases, systems engineering, performance architecture, accelerated computing, or HW/SW co-design.
- Education
- MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
About the job
Defines and optimizes hardware and software architectures for NVIDIA data-processing platforms across analytics and data-intelligence workloads.
What you'll do
- Co-design data-processing platform architectures and hardware features using workload analysis and performance trade-offs.
- Optimize performance across CUDA kernels, accelerated libraries, system IO, shuffle, compression, and data movement.
- Analyze production workloads and build benchmarking frameworks to guide full-stack hardware-software co-optimization.
What they ask for
- MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- Extensive knowledge in at least one area including data processing systems, accelerated computing, high-performance IO, CPU/GPU architecture, or large-scale performance analysis.
- Ability to translate system analysis into actionable recommendations for technical teams and executive leadership.
- Ability to work across matrixed organizations to drive alignment and results.
Nice to have
- Hands-on GPU-accelerated data processing experience (cuDF, RAPIDS, cuVS, CUDA).
- Experience with system-level trade-offs, structured data engines or vector databases, mathematical optimization solvers, or network/storage architecture.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
CUDA, cuDF, RAPIDS, cuVS
AI focus
The role focuses on data-processing architecture and accelerated computing; the posting also states that NVIDIA uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative