Senior Architect - Data Processing Systems, Analytics and Data Intelligence

NVIDIA Corporation; 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 data systems architect to co-design future data processing platforms, balancing performance and cost while collaborating with CPU/GPU teams. You will engage with end users, open-source communities, and internal stakeholders to shape roadmaps and reference architectures for scalable AI data processing.

The role requires an MS/PhD and 8+ years in distributed data platforms, with expertise in CPU/GPU architecture, IO, and performance analysis.

Qualifications

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
• 8+ years of experience in distributed data platforms, databases, systems engineering, performance architecture, accelerated computing, or HW/SW co-design.
• Extensive knowledge in data processing systems, accelerated computing, high-performance IO, CPU/GPU architecture, or large-scale performance analysis.
• Experience evaluating system-level trade-offs: compute, IO provisioning, memory subsystem development, network topology, and storage tiering across diverse workloads.
• Ability to translate sophisticated system analysis into clear, actionable recommendations for silicon architects, software engineers, and leadership.

Responsibilities

• Co-design future architectures for NVIDIA's data processing platforms, targeting performance, efficiency, and cost.
• Engage with end users, open-source communities, ISVs, storage partners, and CSPs to improve experience by incorporating customer insights into roadmaps.
• Drive full-stack performance optimization, from CUDA kernels and libraries to system IO, shuffle, and data movement.
• Collaborate with CPU, GPU, and platform architects to shape hardware features using workload analysis for co-design.
• Partner with internal teams to build constraint-based frameworks and optimization solvers for 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

Systems engineering

Performance architecture

HW/SW co-design

Education

MS or PhD in CS/CE/EE

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you ready to build the future of data processing with NVIDIA?

What you'll be doing:

• Co-design future architectures for NVIDIA's data processing platforms, targeting performance, efficiency, and cost.
• Engage deeply with end users, open-source communities, ISVs, storage partners, and CSPs to improve their experience by incorporating customer insights into roadmaps and reference architectures.
• Drive full-stack performance optimization, from CUDA kernels and accelerated libraries to system-level IO, shuffle, compression, and data movement.
• Collaborate with CPU, GPU, and platform architects to shape hardware features using workload analysis for hardware-software co-design.
• Partner with internal teams to build and apply constraint-based frameworks and optimization solvers to navigate complex design trade-offs across competing metrics.
• Develop benchmarking frameworks to evaluate performance sensitivities and guide hardware-software co-optimization.
• Analyze production workloads throughout the data processing landscape to identify compute motifs, IO patterns, and optimization opportunities across the full platform stack.

What we need to see:

MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.

8+ years of experience in distributed data platforms, databases, systems engineering, performance architecture, accelerated computing, or HW/SW co-design.

Extensive knowledge in one or more of these areas: data processing systems (databases, query engines, or vector search), accelerated computing, high-performance IO, CPU/GPU architecture, or large-scale performance analysis.

Experience evaluating system-level trade-offs: compute, IO provisioning, memory subsystem development, network topology, and storage tiering across diverse workloads a strong plus.

Ability to translate sophisticated system analysis into clear, actionable recommendations for silicon architects, software engineers, and executive leadership.

Ability to work across matrixed organizations to drive alignment and deliver results.

Ways to stand out from the crowd:

• Hands-on experience with GPU-accelerated data processing (cuDF, RAPIDS, cuVS, CUDA).
• Deep familiarity with structured data engines and/or vector database systems.
• Experience with mathematical optimization solvers and understanding of optimization fundamentals.
• Background in network/storage architecture.

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 20, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Learn more about NVIDIA.