1 to 25 of 87 Permanent NVIDIA Jobs in the UK

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. What’s In It For You? Amazing company to work for! Discretionary Bonus scheme. More ❯

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. What’s In It For You? Amazing company to work for! Discretionary Bonus scheme. More ❯

and you'll continually put the customer first. Required experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Recent and substantial experience working for a small-mid size VAR (Value-added Reseller)/or MSP (Managed Service Provider) - Essential. In More ❯

focused on outcome-based solutions is essential. Ideal Experience: Deep knowledge of major networking vendors such as Fortinet, Palo Alto, Cisco, HPE Aruba, and NVIDIA (Mellanox & Cumulus) Experience working for a value-added reseller or managed service provider Knowledge of virtualised network functions (NFVs) and Cloud network virtual appliances (NVAs More ❯

and you'll continually put the customer first. Ideal experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Must have experience working for an value-added reseller or managed service provider. In depth knowledge of virtualised network functions (NFVs) and More ❯

and you'll continually put the customer first. Required experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Recent and substantial experience working for a small-mid size VAR (Value-added Reseller)/or MSP (Managed Service Provider) - Essential. In More ❯

and you'll continually put the customer first. Ideal experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Must have experience working for an value-added reseller or managed service provider. In depth knowledge of virtualised network functions (NFVs) and More ❯

and you'll continually put the customer first. Required experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Recent and substantial experience working for a small-mid size VAR (Value-added Reseller)/or MSP (Managed Service Provider) - Essential. In More ❯

Networking : Support scale-out storage, AI/ML GPU networking, and low-latency computing environments. Vendor Expertise : Leverage expertise in Cisco, Arista, Juniper, and NVIDIA products to drive architecture decisions. Qualifications: Proven experience in complex, high-performance network architecture. Strong focus on software-driven, agile methodologies. Expert knowledge of vendor More ❯

Networking : Support scale-out storage, AI/ML GPU networking, and low-latency computing environments. Vendor Expertise : Leverage expertise in Cisco, Arista, Juniper, and NVIDIA products to drive architecture decisions. Qualifications: Proven experience in complex, high-performance network architecture. Strong focus on software-driven, agile methodologies. Expert knowledge of vendor More ❯

developing embedded software and firmware. Strong proficiency in Pythen programming for embedded systems. Experience working with microcontrollers and microprocessors (e.g., ARM Cortex-M, ESP32, NVIDIA Jetson). Knowledge of communication protocols relevant to IoT and industrial automation (e.g., MQTT, Modbus). Solid understanding of communication protocols (e.g., UART, SPI, I2C More ❯

developing embedded software and firmware. Strong proficiency in Pythen programming for embedded systems. Experience working with microcontrollers and microprocessors (e.g., ARM Cortex-M, ESP32, NVIDIA Jetson). Knowledge of communication protocols relevant to IoT and industrial automation (e.g., MQTT, Modbus). Solid understanding of communication protocols (e.g., UART, SPI, I2C More ❯

developing embedded software and firmware. Strong proficiency in Pythen programming for embedded systems. Experience working with microcontrollers and microprocessors (e.g., ARM Cortex-M, ESP32, NVIDIA Jetson). Knowledge of communication protocols relevant to IoT and industrial automation (e.g., MQTT, Modbus). Solid understanding of communication protocols (e.g., UART, SPI, I2C More ❯

developing embedded software and firmware. Strong proficiency in Pythen programming for embedded systems. Experience working with microcontrollers and microprocessors (e.g., ARM Cortex-M, ESP32, NVIDIA Jetson). Knowledge of communication protocols relevant to IoT and industrial automation (e.g., MQTT, Modbus). Solid understanding of communication protocols (e.g., UART, SPI, I2C More ❯

showcasing AI and high-performance processing capabilities. What are we looking for? You have experience with System-on-Modules, SoCs, edge AI processors (e.g., NVIDIA Jetson, Qualcomm, NXP, Altera) Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), embedded systems, and high-performance computing architectures. Expertise in programming languages More ❯

Hardware Accelerator, TVM, or Code-gen Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central More ❯

You will need to demonstrate experience of: Network administration of medium to large sized networks Experience of different network systems, e.g. Cisco, Extreme, Avaya, Nvidia Experience and knowledge of 1/10/25/40/100Gb ethernet Understanding the requirements of HPC Common network protocols such as PXE More ❯

You will need to demonstrate experience of: Network administration of medium to large sized networks Experience of different network systems, e.g. Cisco, Extreme, Avaya, Nvidia Experience and knowledge of 1/10/25/40/100Gb ethernet Understanding the requirements of HPC Common network protocols such as PXE More ❯

as common HPC SW and management tools. Experience with analysis and profiling tools for HPC/AI codes: Intel OneAPI suite (Vtune ), AMD (uProf), nVidia toolkit. HPC application characterization. Performance optimization of HPC or AI codes. Experience with DevOps automation, configuration management and CI/CD. Knowledge and experience working More ❯

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate More ❯

love to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with More ❯

love to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with More ❯

Cloud Platforms (AWS, Azure, GCP) for model deployment and scaling. Understanding of Edge Computing and on-device model optimization (TensorRT, ONNX). Knowledge of NVIDIA CUDA for GPU acceleration. WANDB and MLflow for training monitoring. Contributions to open-source computer vision or deep learning projects. What We Offer Competitive Compensation More ❯

Cloud Platforms (AWS, Azure, GCP) for model deployment and scaling. Understanding of Edge Computing and on-device model optimization (TensorRT, ONNX). Knowledge of NVIDIA CUDA for GPU acceleration. WANDB and MLflow for training monitoring. Contributions to open-source computer vision or deep learning projects. What We Offer Competitive Compensation More ❯

event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure to NVIDIA ML stack, cuDF/cuPy, AR/VR or neuromorphic computing What You'll Get Competitive salary + potential for equity if hired full-time More ❯