Senior Data Processing Architect GPU-Accelerated Analytics

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 184.000 - 357.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Benefits

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Distributed data platforms

Systems engineering

Performance architecture

HW/SW co-design

Educación

MS or PhD in CS/CE/EE

Descripción del empleo

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.