1 to 25 of 65 Permanent NVIDIA Jobs in England

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 ❯

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 ❯

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 ❯

system operations. Technical Competence: Ability to interpret logs and debug issues via command-line tools and scripts alongside other troubleshooting methods. GPU: understanding of utilization 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 ❯

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 ❯

and characterisation, motion planning, localisation, mapping, and related system performance metrics. Experience in on-vehicle perception, computer vision on a dynamic platform. Experience developing software on embedded hardware, including NVIDIA Jetson boards (Xavier, tx2, etc) The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer 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 ❯

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 ❯

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 ❯

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 ❯

segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯

segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯

models A track record of profiling model and doing detective work to improve model training and inference speed Preferred Qualifications: Previous experience in the autonomous driving industry Knowledge of Nvidia TensorRT Experience with edge computing systems Knowledge of model optimization including quantization, pruning, etc. Company Statements Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal More ❯

30+ Days Ago Business Development Director - AI Platform-2 (m/f/d) locations London time type Full time posted on Posted 30+ Days Ago Director of Alliances - Nvidia (m/f/d) locations 2 Locations time type Full time posted on Posted 30+ Days Ago Northern Data Group is a global company with a European heart, driven 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 ❯

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 ❯

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. What you'll do at Synthesia: You will work end-to-end, contributing to our More ❯

team, you will architect, design and operate our High-Performance Computing (HPC) infrastructure, making a fundamental contribution to our AI development. You will work hands-on with our various Nvidia clusters, comprising thousands of GPUs. Given the scale and complexity of our workloads, it's not just about maintaining our systems, it's about elevating them. You will use your More ❯

hardware partners, client field teams The Successful CTO will have: Proficiency in Python, PyTorch, OpenCV, ONNX, TorchScript/TensorRT Experience deploying production-grade AI in edge environments (Jetson/NVIDIA) Comfortable leading projects from concept to field deployment Detail-oriented and execution-driven Mission-aligned: You care about technology that serves people and ecosystems Willingness to travel outside of UK More ❯

hardware partners, client field teams The Successful CTO will have: Proficiency in Python, PyTorch, OpenCV, ONNX, TorchScript/TensorRT Experience deploying production-grade AI in edge environments (Jetson/NVIDIA) Comfortable leading projects from concept to field deployment Detail-oriented and execution-driven Mission-aligned: You care about technology that serves people and ecosystems Willingness to travel outside of UK More ❯

cloud sector. CRM & Reporting: Track and manage lead interactions using our CRM software and report on performance metrics. Continuous Learning & Adaptation: Stay updated on developments in cloud computing, the Nvidia ecosystem, and GPU technology to maintain a competitive edge. Qualifications: 1-3 years of experience in lead generation, sales development, or similar roles in cloud/tech environments. Strong understanding More ❯

diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Responsibilities Optimize the performance of Deep Learning training workload on NVIDIA GPU systems on a large scale Optimize the latency of model inference and model pre- and post-processing on onboard systems Design, train, and deploy large deep learning models that More ❯

ensure client expectations are aligned Industry Representation & Learning Represent NexGen Cloud at trade shows, virtual events, and strategic industry forums Stay informed on AI infrastructure trends, GPU technology (including NVIDIA ecosystem), and competitive developments Commit to continuous learning to strengthen both technical understanding and sales effectiveness Qualifications Proven track record in managing the full sales lifecycle, ideally within cloud infrastructure More ❯