Nvidia Distinguished Engineer Cloud Architecture 

United States, Texas 

233810397

What You’ll Be Doing:

• Lead the architecture of next-generation GPU clouds on DGX/HGX/GB200 platforms—balancing performance, energy efficiency, and lifecycle simplicity.

• Build modular blueprints that integrate NVSwitch, NVLink 5.0, Spectrum-X, InfiniBand, and BlueField DPUs into secure, multi-tenant “AI Factory” architectures. Publish and validate reference designs forBare-Metal-as-a-Service,

• Build comprehensive end-to-end infrastructure pipelines.

• Design and implement Redfish/IPMI/iPXE provisioning systems, Slurm and Kubernetes control planes, virtual networking solutions, and distributed storage architectures. Influence strategy across silicon, networking, software, and AI infrastructure groups—ensuring unified vision from chip to cloud.

• Drive external partnerships and industry leadership.

• Represent NVIDIA at key industry forums including OCP, CNCF, UCF, and major cloud service providers. Lead co-design efforts that accelerate customer success while guiding critical trade-offs in power consumption, cost optimization, density requirements, and operational simplicity—always prioritizing business impact and sustainability.

What We Need to See:

• 15+ years proven experience crafting and shipping large-scale systems or cloud infrastructure with measurable real-world impact

• Hands-on expertise with GPU platforms, high-bandwidth fabrics(InfiniBand/Spectrum/RoCE),distributed storage, and workload orchestration

• Production experience with Kubernetes, Slurm, Terraform, and BMaaS tooling across bare-metal, VM, and container ecosystems

• Proven track record delivering secure, scalable, multi-tenant infrastructure in production environments

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)

• Excellent communication skills—able to build technical architecture documentation and work optimally with both executives and engineers

Ways to Stand Out from the Crowd:

• Direct experience with GB200, NVSwitch 5.0, Magnum IO, DOCA, or Spectrum-X deployments

• Deep understanding of AI/ML training and inference pipelines, GPU scheduling, and multi-tenant cluster management

• Hands-on design experience across AWS, Azure, OCI, or GCP plus hybrid-cloud architecture patterns

• Active contribution to OCP, UCF, Kubernetes SIGs, or similar industry standards bodies

• Leadership experience mentoring senior engineers and leading cross-organizational architecture programs with VP/C-suite visibility