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Key Responsibilities Design and deploy large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure (OCI). Architect scalable AI and accelerated computing solutions using Infrastructure as Code (Terraform,…
Who You’ll Work With When you join Arista as part of the Sales Engineeringteam, you're not just stepping into a role; you're becoming part of a team ofindustry experts and technical leaders. Typically reporting…
NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA…
NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer focused on…
Job DescriptionA fantastic opportunity has arisen for an HPC Architect to join a department to assist with the design, development, and evolution of high-performance computing infrastructure within a complex…
Job DescriptionAI Architect / CTO PreSales, E2E, AI Infrastructure , Compute, Power, Cooling, AI Networking, HPC, GPU, Datacentres, NVIDIA, Storage, Remote (UK) with EU Travel & Fluent French, Spanish or German is…
Job Description About the Company GMI Cloud is building next- AI infrastructure designed for large-scale GPU training and inference workloads. Our platform supports high-density GPU clusters deployed in modern data…
Design and maintain high-performance data center networks for AI workloads, using Cumulus Linux, spine/leaf architectures, and automation tools like Python and Terraform.
Senior Linux systems administrator supporting Emory College's educational high-performance computing: administers Linux servers, HPC clusters, Open OnDemand and Slurm environments, GPU resources, accounts/authentication, patching, monitoring, and automation for courses and research computing. Hybrid role based on the Atlanta, GA campus.
Entry-level network engineer on Cirrascale's team, working under senior engineers to run SD-WAN, internet edge, cloud interconnect, and InfiniBand fabrics powering GPU-based AI/HPC cloud workloads — handling NOC escalations, BGP/telemetry monitoring, incident response, and data center bringups.
Moonlite is hiring a Senior Software Engineer to build its software-defined networking platform for AI infrastructure: designing DPU-accelerated (NVIDIA Bluefield-3) network orchestration, multi-tenant VPC/VXLAN isolation, and high-performance RDMA/RoCE networking for distributed AI workloads. Core stack: Python, Go, Linux networking, Open vSwitch, BGP, Terraform.
Job Description NVIDIA and Deutsche Telekom are jointly developing the world’s first industrial AI cloud for European manufacturers. This AI factory in Germany will host 10,000 GPUs across NVIDIA DGX B200 systems and…
12-month contract (extend or go perm) Principal Architect role in Sydney CBD with a market-leading system integrator delivering multi-billion-dollar AI data centre upgrade programs. The hire acts as Design Authority, governing AI/HPC infrastructure architecture across NVIDIA compute, networking and storage — a governance and customer-facing role, not hands-on engineering.
NVIDIA is looking for a highly motivated Software QA Engineer to join our Host BMC Software QA Team. Quality is an integral aspect of our products, and as a Software QA Engineer you will have a significant impact in…
We are looking for a Senior System Software Engineer to develop low-level software for NVIDIA NVLink Fusion, a high-bandwidth, low-latency interconnect platform for next-generation accelerated computing systems. You…
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More…
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence Design Systems Inc. is looking for a motivated Software Engineer II: R&D Hardware Verification…
Senior engineer on Lambda's Managed Kubernetes team builds and runs a GKE-style managed Kubernetes platform purpose-built for GPU-driven AI training and inference — control-plane services, operators, GPU-aware scheduling, high-performance networking, and inference-serving infrastructure, primarily in Go and Python. Requires 4 days/week on-site in San Francisco, San Jose, or Bellevue.
Technical Project Manager driving GPU infrastructure deployment projects for 5C Data Centers, supporting hyperscaler, AI, and high-performance computing buildouts across North America. Works remotely (with travel) within the Cloud/Ops department from Washington D.C., Phoenix, Memphis, Columbus, or nearby regions.
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