Browse 14 exciting jobs hiring in Dgx now. Check out companies hiring such as NVIDIA, Advanced Technology Services, USAA in Vancouver, Charlotte, Boston.
Lead creation and delivery of technical, lab-driven training on NVIDIA AI, HPC, and data-center platforms for customers and partners.
Lead the technical design and build of DGX Cloud platform services, combining Kubernetes, IaC, and HPC expertise to deliver scalable AI compute services.
NVIDIA seeks a Senior Network Deployment Engineer to provision, document, and troubleshoot carrier circuits, cross-connects, and dark fiber for DGX Cloud in Santa Clara.
Lead engineering for NVIDIA Mission Control to build and operate resilient, AI-enabled cluster automation for large-scale GPU and CPU infrastructure.
As a Senior UX Designer on the DGX Cloud team at NVIDIA, you will drive end-to-end product design and craft intuitive AI-driven user experiences using modern design systems and prototyping tools.
Lead customer-facing AI infrastructure deployments and performance optimization for groundbreaking large-scale training and inference workloads on NVIDIA's platform.
NVIDIA seeks a hands-on Solutions Architect to advise DGX Cloud partners, accelerate production AI adoption, and scale best practices for high-performance GPU infrastructure.
NVIDIA's DGX Cloud team is hiring a Senior Site Reliability Engineer to operate and scale GPU-accelerated Kubernetes clusters across major cloud providers while driving reliability, observability, and performance.
Lead NVIDIA's AI Accelerator product strategy by cultivating executive customer partnerships and translating AI implementations into market-driving product decisions.
Lead developer and partner engagement to drive adoption of NVIDIA GPUs and SDKs across power generation, creating blueprint reference solutions, SDK integrations, and high-impact developer content for industrial and regulated environments.
Lead high-speed SerDes validation and system-level testing for NVIDIA DGX servers, building automation and resolving complex HW/SW issues for GPU-accelerated datacenter products.
Lead complex NPI programs for NVIDIA's DGX Cloud, driving hardware-software integration, site bring-up, and scalable processes for new GPU platform rollouts.
Lead large-scale cloud infrastructure and capacity bring-up programs for NVIDIA DGX Cloud, coordinating engineering, partners, and leadership to deliver production-ready AI infrastructure.
Lead the technical strategy and implementation of DGX Cloud observability, monitoring, and automated remediation to ensure high availability and operational excellence for NVIDIA customers.
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