Senior Data Processing Architect—AI-Driven Systems

NVIDIA Corporation; United States; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Architect in Data Processing Systems for Analytics and Data Intelligence (ADI) to define and improve hardware and software architectures for diverse data workloads. You will work across CPU/GPU platforms to deliver high-performance, scalable data processing solutions.

You will engage with end users and partner ecosystems to translate insights into robust reference architectures, benchmarks, and optimization strategies.

Qualifications

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• 8+ years of experience in distributed data platforms, databases, systems engineering, performance architecture, accelerated computing, or HW/SW co-design.
• Experience in data processing systems, accelerated computing, CPU/GPU architecture, or large-scale performance analysis.
• Ability to translate system analysis into actionable recommendations for silicon architects, software engineers, and executive leadership.
• Ability to work across matrixed organizations to drive alignment and deliver results.

Responsibilities

• Co-design future architectures for NVIDIA's data processing platforms, focusing on performance, efficiency, and cost.
• Engage with end users, open-source communities, ISVs, storage partners, and CSPs to improve experiences via customer insights.
• Drive full-stack performance optimization from CUDA kernels to system-level IO and data movement.
• Collaborate with CPU, GPU, and platform architects during hardware-software co-design.
• Develop constraint-based frameworks and optimization solvers to navigate design trade-offs.
• Develop benchmarking frameworks to evaluate performance sensitivities and guide co-optimization.
• Analyze production workloads to identify compute motifs and IO patterns across the platform stack.

Skills

Distributed data platforms

Performance architecture

HW/SW co-design

Data processing systems

Large-scale performance analysis

Education

MS or PhD in CS/CE/EE or related field

Tools

CUDA

cuDF/RAPIDS

CUDA libraries

Job description

NVIDIA is seeking a Senior Architect in Data Processing Systems for Analytics and Data Intelligence (ADI) to define and improve hardware and software architectures for diverse data workloads. You will work across CPU/GPU platforms to deliver high-performance, scalable data processing solutions.

You will engage with end users and partner ecosystems to translate insights into robust reference architectures, benchmarks, and optimization strategies.