1 to 25 of 135 NVIDIA Jobs in England

utilisation, reliability, and cost-efficiency. Your Impact Provision and manage cloud-native AI/ML infrastructure utilising Kubernetes, Docker, and GPU orchestration frameworks (e.g., NVIDIA GPU Operator, Slurm, or Ray). Automate core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible. Optimise GPU compute workloads ...

edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national security projects. An MSc or PhD in Computer Vision, Artificial Intelligence, Machine Learning ...

building things properly the first time, even under early-stage constraints. Nice to Have Experience with GPU cluster management and ML training workloads (NVIDIA, CUDA, distributed training). Familiarity with MLOps tooling: Experiment tracking (MLflow, Weights & Biases). Workflow orchestration (Airflow, Prefect, Argo). Data versioning (DVC). Background ...

gaps and taking initiative as needed to help the team win together. Nice‐to‐Haves Experience with our Edge AI stack. Experience with the NVIDIA edge ecosystem (Jetson Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet management. Experience with tools ...

networking for AI/HPC workloads, including InfiniBand and/or RoCE. Experience with subnet managers and fabric orchestration technologies such as OpenSM or NVIDIA UFM. Expert-level understanding of modern data centre routing and control planes, including BGP, EVPN-VXLAN, and Clos/spine-leaf architectures. Production experience with ...

MANET radio technology Defence, military, government or national security environments Military communications or C5ISR roles Docker, Kubernetes or K3s Edge computing platforms such as NVIDIA Jetson Python or Bash scripting REST APIs and software integration TAK or ATAK Cursor-on-Target and tactical data distribution SATCOM or LTE/ ...

workloadsDeep knowledge around GPU optimization and performance Proficiency in Python scripting and automation frameworks CUDA or C/C++ experience is a plusExperience 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 ...

Metaflow, or Argo Workflows. Experience with containerisation and infrastructure tooling such as Docker, Kubernetes, or Terraform.Experience profiling or optimising ML systems, for example using NVIDIA Nsight. Understanding of ML workflows and researcher experience, even if you are not focused on model development. What we're not looking for This ...

agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration platforms Experience operating or integrating serving platforms such as KServe, Ray Serve, NVIDIA Triton Inference Server, Text Generation Inference (TGI), alongside vLLM/llm-d Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting ...

What you will do Training Infrastructure Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform. Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization. Build and maintain ...

concurrent opportunities across a geographic territory. Fluency in English required; proficiency in Dutch, Swedish, Norwegian, Danish, or Finnish is a plus. Preferred: Familiarity with NVIDIA GPU architectures (H100, A100, H200) and the software stack around them: CUDA, NCCL, cuDNN. Working knowledge of high-performance networking concepts: InfiniBand, RDMA, RoCE ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent … ambiguity in a fast-moving technology space; makes sound architectural calls with incomplete information. Collaborates effectively across sales, pre-sales, delivery, and partner (NVIDIA, hyperscaler, ISV) teams. Education & ExperienceBachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent demonstrable experience. Advanced degree ...

communication and stakeholder management skills, able to work closely with Platform, Network, and leadership. Nice to Have Experience in HPC or GPU‐accelerated environments (NVIDIA GPUs, InfiniBand/RDMA, parallel file systems). Scripting skills in Python and/or Bash for automation and tooling. Understanding of performance tuning ...

still being developed Strong Preference For Experience integrating accelerator hardware (GPUs, FPGAs, ASICs, NPUs, or novel architectures) into customer inference workflows Familiarity with the NVIDIA inference stack - CUDA, TensorRT, Triton Exposure to disaggregated inference architectures, prefill/decode separation, or KV cache management Compensation & Benefits Highly Competitive Salary ...

systems for UAVs using ROS and simulation environments (e.g. Gazebo or IsaacSim) Have experience integrating edge compute (e.g. Raspberry Pi 5 + AI or Nvidia Jetson) to a UAV Integrate sensors and actuators for improved drone perception and navigation Knowledge of control systems, computer vision, and machine learning Conduct testing ...

playing a key role in advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical ...

environment. Master's or PhD in Engineering, Physics, Computer Science, Mathematics, or a related scientific discipline (or equivalent practical experience). Desirable Experience with NVIDIA PhysicsNemo or similar physics-informed machine learning frameworks. Knowledge of fluid dynamics concepts and CFD data analysis. Experience in motorsport, Formula 1, or aerospace aerodynamics. ...

most advanced high-performance computing infrastructure. As a Cloud Support Engineer, you will support cutting-edge GPU and CPU platforms - including the latest NVIDIA architectures - powering dense, large-scale compute environments used for AI, machine learning, and next-generation workloads. This is an opportunity to build expertise at the forefront ...

NVIDIA Corporation in Reading, United Kingdom, is seeking a Senior Software QA Test Development Engineer to design and implement scalable, end-to-end SWQA workflows, automated test frameworks, and tooling for complex software products. You will build coverage for Linux-based, containerized, and Kubernetes environments and lead quality initiatives across ...

video processing (ingest, frame extraction, transcoding, and A/V sync). Integrate proprietary codec SDKs into AI and media frameworks (e.g., FFmpeg, GStreamer, NVIDIA NeMo). Connect video processing stages to computer-vision and multimodal AI models (for tasks like classification, embeddings, and structured output generation). Prototype ...

/Layer 3 networking BGP and OSPF HSRP/VRRP Firewalls/network security Cisco Firepower/FTD IPv4/IPv6 QoS and multicast NVIDIA Mellanox switches/Cumulus Linux EVPN/VXLAN/MLAG/leaf-spine networking Linux VMware Ansible/network automation What we're looking ...

time-sensitive trading applications. Great to haveExperience in financial trading environments with a focus on real-time data performance. Knowledge of GPU-accelerated environments (NVIDIA GRID, AMD vGPUs) for optimizing application performance. Familiarity with network protocols and latency optimization in trading systems. Experience with CI/CD pipelines for application ...

corporate/campus networks: wired and wireless, switching, NAC/802.1X, VPN and remote access Clear communicator who enjoys teaching Bonus: GPU cluster networking (NVIDIA Spectrum-X or Quantum InfiniBand, ConnectX/BlueField NICs and DPUs, UFM, SHARP or equivalent); container networking (CNI, BGP integration); collective-communication libraries; multi-tenant ...

outcomes, 80% less admin work Raised a $30M Series A from top investors Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than ...

main programming languages used in robotics and autonomous systems (e.g., Python, C, C++, Matlab/Simulink).Experience developing on embedded computing boards (e.g., Nvidia Jetson, Intel Up).Simulation software used in robotics (e.g., Gazebo, Airsim, Unreal, Unity, Isaac Sim).An enquiring mind and aptitude to work with uncertainty, shape ...