1 to 25 of 69 Permanent 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

with cameras, codecs and streaming protocols. Experience of C#, Python, Qt, WPF, Visual Studio. Experience working with Windows and Linux device drivers. Experience with Nvidia Jetson. Experience creating CI/CD and automated test infrastructure with hardware in the loop. Experience building CI/CD pipelines with GitLab or GitHub. 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 ❯

to apply the right computer vision techniques and critically evaluate their advantages. Desirable Skills: Experience deploying AI software in edge computing environments, especially on Nvidia Jetson hardware. Background in sectors such as automotive computer vision or other real-time, high-reliability fields. Ability to design appropriate AI models based on More ❯

to apply the right computer vision techniques and critically evaluate their advantages. Desirable Skills: Experience deploying AI software in edge computing environments, especially on Nvidia Jetson hardware. Background in sectors such as automotive computer vision or other real-time, high-reliability fields. Ability to design appropriate AI models based on More ❯

to apply the right computer vision techniques and critically evaluate their advantages. Desirable Skills: Experience deploying AI software in edge computing environments, especially on Nvidia Jetson hardware. Background in sectors such as automotive computer vision or other real-time, high-reliability fields. Ability to design appropriate AI models based on 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 ❯

machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent on experience Package of attractive benefits including private medical insurance and monthly travel card You will More ❯

skills. Ability to mentor and guide a team of engineers. Experience with ML deployment pipelines. Experience with embedded SoCs used in automotive environments, e.g. Nvidia, Qualcomm, Renesas, etc. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so 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 ❯