1 to 25 of 77 NVIDIA Jobs in England

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 ❯

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. 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 ❯

Key Responsibilities Design and implement advanced computer vision algorithms using multi-sensor inputs. Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi). Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and More ❯

Key Responsibilities Design and implement advanced computer vision algorithms using multi-sensor inputs. Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi). Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

machine learning. Experience with machine learning frameworks (e.g. PyTorch, TensorFlow). Hands-on proficiency in C++ and Python. Familiarity with robotic simulation environments (e.g. NVIDIA Omniverse, MuJoCo, PyBullet). Solid grasp of real-world constraints in robotic perception and manipulation. Strong communication and collaboration skills. Preferred Qualifications Experience implementing, testing 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 ❯

we've raised over $330M in funding from top-tier investors, including NEA, Atlassian Ventures, WiL, PSP Growth, and existing investors such as Accel, Nvidia, Kleiner Perkins, GV and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role As a Team Lead you will join More ❯

time situational awareness. Collaborate with a fast-growing team of engineers, researchers, and domain experts. Work on edge and embedded deployments using platforms like Nvidia Jetson and Raspberry Pi. Play a key role in shaping technical direction and future product capabilities. You’ll Need: 5+ years of experience in AI More ❯

time situational awareness. Collaborate with a fast-growing team of engineers, researchers, and domain experts. Work on edge and embedded deployments using platforms like Nvidia Jetson and Raspberry Pi. Play a key role in shaping technical direction and future product capabilities. You’ll Need: 5+ years of experience in AI More ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

GPUs across Europe, catering to enterprises requiring high-performance compute power for AI and machine learning workloads. With strong partnerships with industry giants like Nvidia and AMD, they are poised for significant growth and are seeking a talented Senior Analyst to join their dynamic team. Role Overview: As a Senior 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 ❯

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 ❯