10 of 10 NVIDIA Jobs in the UK excluding London

reviews for compute or HPC-related incidents, implementing preventive measures as needed. Required Skills: •Expertise in an HPC environment, including GPU cluster administration (e.g., NVIDIA, AMD) and workload schedulers such as SLURM or PBS. •Proficiency with AI model training workflows and experience supporting popular AI/ML frameworks (e.g., TensorFlow ...

EVPN, BGP, Geneve High Assurance IP Encryptors (HAIPE) Infrastructure Automation and Orchestration technologies (e.g. Ansible, Terraform etc.) Whitebox Network Infrastructure (e.g. Mellanox, Cumulus Linux, Nvidia Networking) Support and Troubleshooting of NSX Cisco CCNP or equivalent experience "This engagement is outside IR35 and will be delivered on a statement-of-work ...

knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging ...

knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging ...

C++ (C++14 or later) Hands-on expertise with ROS2 (Robot Operating System 2). Experience integrating software with embedded or edge computing hardware (e.G. NVIDIA Jetson/Xavier). Exposure to ROS1 migration, simulation tools (e.G. Gazebo, RViz), and project tracking tools such as Jira. This role offers a competitive ...

robotic middleware and interfaces (e.g., ROS 2 or similar) Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs. Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence. Contribute to the full engineering lifecycle, including architecture ...

aggressively scaling our commercial operations in North America. Some names include Cisco, Juniper, Palo Alto Networks, Siemens, Cadence, Synopsys, AMD, Intel, NVIDIA, etc. About the Role We are hiring a highly ambitious, autonomous, and commercially sharp Business Development Representative to join our growing commercial team. This is a senior, outbound ...

backend service built in Laravel, that provides data to a React.js frontend application. Our new computer vision products are built on the foundations of NVIDIA DeepStream and GStreamer using the NVIDIA Jetson hardware and developed in Python and C++. The technology stack you will work with includes Linux, NVIDIA DeepStream … NVIDIA Jetson, Docker, Python, C++, GStreamer, PostgresSQL, Timescale DB, AWS Cloud, AWS SageMaker, and NoSQL(DynamoDB). What you'll need to succeed You will have strong knowledge and understanding of ML/Data Science concepts, processes, statistical modelling, data and model pipelining and ML algorithms. You will also have ...

data transfer optimisation, and multi-GPU support Deploy and optimise machine learning models using TensorRT within C++ applications Profile and optimise GPU workloads using NVIDIA Nsight Systems and Nsight Compute Configure GPU hardware and software stacks to maximise runtime performance Evaluate and recommend appropriate GPU hardware for specific workloads Clearly ...

Life on the team Youll join a highly skilled, forward-thinking professional services organisation at the forefront of AI and NVIDIA-driven infrastructure. This is a highly visible, strategic role where youll work closely with senior leadership, NVIDIA, neo-cloud providers, and major enterprise customers operating at massive scale. … wants to have genuine influence over how AI infrastructure is designed and delivered. What youll do Act as the lead technical authority for NVIDIA-based AI and GPU infrastructure solutions. Architect end-to-end datacenter GPU platforms, covering compute, storage, networking, and security. Lead pre-sales engagements, working directly with ...