Distinguished Engineer - DGX Cloud Full-Stack Integration

NVIDIA AI; California (MO); On-site; USD 320,000 - 489,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior engineer/architect to lead DGX Cloud full stack integration, shaping the interface between accelerated hardware and software. You will drive technical strategy across datacenters, defining the control and data planes for on-demand, scalable accelerated computing.

Expect 15-20+ years in technical roles, 7-10+ years in leadership, and BS/MS or higher in systems/software engineering.

Qualifications

• 15-20+ years in technical roles focusing on low-level systems integration (hardware, firmware, OS, virtualization).
• 7-10+ years of leadership experience.
• Experience with multi-tenant datacenter and cloud-native architectures.
• Strong ability to define abstractions and build secure, highly available IaaS/PaaS layers.
• Proven track record delivering complex, high-impact solutions with transparent resource usage.

Responsibilities

• Architect DGX Cloud full stack integration systems across hardware, firmware, and software layers.
• Define and drive technical strategy across datacenter environments (enterprise, sovereign, neocloud).
• Lead cross-domain integration of shared memory, storage, and networking for IaaS/PaaS.
• Guide delivery across diverse environments including neocloud, enterprise, sovereign, and high-security datacenters.
• Collaborate with customers, providers, and partners to set industry standards for performance and availability.
• Oversee ideation, architecture, design, development, deployment, and operations of software and integrations.

Education

BS/MS or higher or equivalent experience in systems / software engineering

Job description

NVIDIA is seeking a senior engineer/architect to lead DGX Cloud full stack integration, shaping the interface between accelerated hardware and software. You will drive technical strategy across datacenters, defining the control and data planes for on-demand, scalable accelerated computing.

Expect 15-20+ years in technical roles, 7-10+ years in leadership, and BS/MS or higher in systems/software engineering.