Senior Architect - Data Processing Systems, Analytics and Data Intelligence

NVIDIA Corporation; United States; Remote; 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 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? As a Senior Architect in Data Processing Systems for Analytics and Data Intelligence (ADI), you'll define and improve hardware and software architectures for diverse set of data processing workloads. Join us in our mission to deliver outstanding performance at scale, using our accelerated data processing platform that combines CPUs, GPUs, high-bandwidth networking, and more!

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.

• You will also be eligible for equity and benefits.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

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.