4 of 4 Remote NVIDIA Jobs in Berkshire

the combination of Cohesity with Veritas' enterprise data protection business, the company's solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We've been named a Leader by multiple analyst firms More ❯

world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team More ❯

fast in the next decade, ranked as Top 10 in the FORTUNE Future 50 list (other companies who previously appeared on this list include Tesla, Amazon, Shopify, Adobe and NVIDIA). It’s a chance to be part of a huge success story shaping the future of business globally. It's an opportunity to be part of great employee-centric More ❯

the-art high-performance computing environment (HPC). The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run:AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities: Deploy and configure a complete AI …/ML Ops platform, including Ubuntu OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration Shadow vendor installations, conduct knowledge transfer, and validate platform performance against AI/ML development requirements Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches Deliver technical guidance to researchers and developers while engaging stakeholders to understand … Required Qualifications & Experience: Strong experience deploying and supporting HPC environments for AI/ML workloads Strong Ubuntu server administration and extensive Kubernetes cluster management experience Hands-on experience with NVIDIA GPU technologies (GPU Operator) and AI/ML orchestration platforms (Run: AI highly desirable) Understanding of networking in containerised environments and experience supporting complex computing infrastructures Strong documentation and knowledge More ❯