1 to 25 of 72 NVIDIA Jobs in the UK

Architecture - Spine/Leaf Fabric, 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 Why SIXWORKS? SiXworks is a leading provider of secure digital solutions, specialising in digital experimentation and focused on fail More ❯

and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over More ❯

cause analysis. Skills & Experience Required 5+ years in networking, preferably in a hyperscaler or HPC environment Proficient with L2/L3 protocols, automation tools, and AI fabrics Familiarity with NVIDIA Spectrum or similar switches is a plus Certifications: CCNP, Arista ACE, JNCIP What We Offer Competitive salary or daily contract rates Access to cutting-edge AI infrastructure projects Opportunities for More ❯

and cabling schematics Comfortable working hands-on in data center environments (lifting, racking, connecting, etc.) Desirable Skills: Previous work on AI, machine learning, or HPC cluster deployments Experience with NVIDIA GPUs, DGX systems, or custom AI racks Knowledge of Ansible, Redfish, PXE boot, or infrastructure automation tools Certifications: CompTIA Server+, Cisco CCNA, BICSI, or similar Understanding of thermal and power More ❯

troubleshooting distributed GPU workloads Deep knowledge around GPU optimization and performance Proficiency in Python scripting and automation frameworks CUDA or C/C++ experience is a plus Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef) Comfortable diagnosing complex system issues at the hardware, OS, and More ❯

challenges on the job while you: Build and improve next-generation AI platform Collaborate with internal engineering teams, leading technology companies around the world and open source community - PyTorch, NVIDIA/GPU Create innovative products to run at scale on the AI platform, and see them launched in high volume production About the team Diverse Experiences AWS values diverse experiences. More ❯

series D funding. In total 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. The role As a Cloud FinOps Manager , you will play a pivotal role at the More ❯

InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯

AWS PostgreSQL, SQLite Kafka, MQTT Shell scripting REST APIs Docker for both our cloud and edge-device applications Microservice-style, event-driven cloud architecture IoT 'smart' edge devices (using nVidia AI chips) Linux-based embedded OS on our Edge devices Continuous Integration and Delivery using Jenkins, SonarQube Terraform for infrastructure management Grafana, Elasticsearch, Kibana & New Relic for metrics, logs and More ❯

impactful environment. Key Responsibilities: Design and develop high-performance C++ and Python code Port and optimise deep learning models for deployment on edge devices Work with tools such as Nvidia DeepStream and Triton Inference Server Collaborate with international teams including software developers and AI researchers. Essential Skills & Experience: Degree in Computer Science or a related field. Strong experience in modern More ❯

distributed model training Experience working with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving, large-scale More ❯

distributed model training Experience working with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving, large-scale More ❯

Kubernetes management. Technical Competence: Ability to interpret logs and debug issues via command-line tools and scripts alongside other troubleshooting methods. GPU: understanding of utilisation and troubleshooting methods for Nvidia based GPU's Soft Skills: Strong detail orientated communication skills tailored to diverse audiences. Customer-focused problem-solving and support abilities with a focus on quality of interaction/experience. More ❯

and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology More ❯

InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯

real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments" - Marc Hamilton, VP, Solutions Architecture & Engineering NVIDIA DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract 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. About the role DevOps is a culture not a team, but right now, we don More ❯

TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as NVIDIA Jetson. This is a chance to join a business with real purpose, where you work has a real-world impact! You can work from anywhere in the UK, with fully More ❯

experience with low-level sensor drivers, debugging, and real-time tuning. Familiarity with flight test, telemetry logging, and blackbox analysis. Experience with autonomous systems or swarming protocols. Familiarity with Nvidia Jetson, STM32, or custom SoC platforms More ❯

Core, SOAP/REST APIs, and MySQL/PostgreSQL, Red Hat OpenShift, Kubernetes Understanding of DevOps, cloud deployments, and service observability Bonus: Interest/experience in AI, digital twins, Nvidia Omniverse SDK & APIs, Universal Scene Description What We Offer : Reimbursement for tuition and professional dues Three weeks of vacation and five paid personal days (to start) RRSP matching program Free More ❯

InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯

ROS, including advanced OpenCV, Boost, Standard library, and Jsoncpp for efficient data processing and manipulation. Implement machine learning models for object detection, particularly using YOLOv5, and optimize performance using Nvidia CUDA hardware acceleration. Develop, test, and deploy cloud-based applications and simulations, using Azure DevOps, Docker, and cloud-based agents for continuous integration and deployment. Write and maintain unit tests More ❯

developing production applications. Data Engineering & Streaming: Familiarity with data streaming tools and Elastic to ensure high performance in data-driven environments. Nice to Have: Neo4j Data Streaming e.g. Kafka Nvidia Triton Octopus Deploy Langsmith Elastic About Definely Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely More ❯

InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯

define infrastructure strategies that are scalable and meet the needs of the business. Design deployment architectures for high availability, performance, and cost-efficiency across on-premise (e.g., HP, Intel, Nvidia) and cloud platforms (e.g., Azure, AWS)." Evaluate and recommend hardware, software, and networking solutions, including virtualization strategies (e.g., Hyper-V, Kubernetes, VMware). Manage relationships with hardware and software More ❯