1 to 25 of 112 NVIDIA Jobs in London

dive when necessary Desirable Exposure to computational research involving GPU, including AI/ML methods applied to biomedical problems Experience supporting GPU‐accelerated workloads, NVIDIA tooling, CUDA‐aware environments, and/or AI/ML and bioinformatics workloads on shared compute platforms. Familiarity with bioinformatics or scientific workflow frameworks (e.g. ...

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 ...

/Kubernetes models, including LLM inference. Proficiency in Infrastructure as Code (IaC) tools like Terraform or Ansible. Experience with GPU acceleration technologies (e.g., NVIDIA CUDA) in containerized environments. Familiarity with monitoring tools such as Prometheus and Grafana. Exceptional communication and problem-solving skills with a client-focused mindset. Excellent client ...

systems. Nice to Have Expertise in AI/ML workloads, GPU-accelerated systems, or HPC infrastructures, including GPU partitioning with MIG and the NVIDIA GPU Operator. Experience with RDMA fabrics such as InfiniBand or RoCEv2, and GPUDirect data paths. High-throughput distributed storage at scale, such as Ceph ...

seamless integration into existing AI and HPC infrastructure. Its current PT-2 system, a rack-mounted quantum computer, connects directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads with significantly lower energy consumption than traditional silicon-based systems. Backed by a strong portfolio of patent ...

record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes. AI Hardware & Data Center Infrastructure GPU/accelerator architectures: NVIDIA/AMD, including multi-node scale-out design. Accelerator interconnects: NVLink, NVSwitch High-performance networking: InfiniBand and RoCEv2 fabric design, 400G/800G Ethernet, rail … frameworks: PyTorch and TensorFlow at a working, hands-on level. Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ...

Haves Experience troubleshooting, provisioning, or operating bare-metal server infrastructure. Experience operating or troubleshooting GPU, HPC, or other high-performance compute infrastructure. Familiarity with NVIDIA GPUs, DCGM, InfiniBand, RoCE/RDMA, NVLink, or high-speed data center networking. Experience with hardware management and provisioning technologies such as PXE, BMC, IPMI ...

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 ...

have Experience building and operating large-scale observability systems across multiple data centers. Experience monitoring GPU clusters and AI/ML workloads, including NVIDIA DCGM and training or inference performance metrics. Deeper experience with hardware and network telemetry, such as IPMI/Redfish, NetFlow/sFlow, SNMP, gNMI, or eBPF. ...

Python, including services, APIs, messaging, and system integrations. Experience with ROS or ROS 2, MAVLink, or CAN/CANbus. Hands-on experience with NVIDIA Jetson, Raspberry Pi, or similar edge-compute hardware. Familiarity with TAK, ATAK, tactical networks, Starlink, or satellite communications. Experience with cloud-connected and disconnected-edge architectures. ...

expect one person to bring experience in every area.* You may also bring experience with emerging technologies such as NeRFs, Gaussian Splatting, NVIDIA Omniverse, Unity or Unreal, or knowledge of model explainability, open-source licensing or CI/CD-based testing of robotics and machine learning pipelines. These are helpful ...

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 ...

TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering practices (ETL, data lakes, big data tools like Spark). Knowledge of designing scalable, distributed systems. ...

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 ...

tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. ...

seamless integration into existing AI and HPC infrastructure. Its current PT-2 system, a rack-mounted quantum computer, connects directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads with significantly lower energy consumption than traditional silicon-based systems. Backed by a strong portfolio of patent ...

computer vision, and share what we learn across the company. We work mostly in Python, with some Go, deploying models and algorithms to NVIDIA Jetson devices running DeepStream pipelines, supported by Docker, GitHub Actions and Azure. W hat success looks like Your work regularly reaches production and makes a measurable ...

also welcome experience or an interest in XR, augmented or mixed reality, spatial computing, digital twins or real-time platforms such as Unity, NVIDIA Isaac Sim or Unreal Engine. These are valuable additions, but we don't expect one person to bring experience in every area.* Knowledge of containerisation, infrastructure ...

site connectivity, routing, switching, segmentation, firewalls, DNS, IP address management, load balancing and secure remote access. Detailed knowledge of physical network technology, ideally Cisco, NVIDIA and Mellanox, and in-depth understanding of Cisco Nexus Dashboard, data centre fabrics, Aruba networking infrastructure, BGP, OSPF, RoCE v2, performance optimisation and lifecycle management. ...

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 ...

production performance challenges. Experience automating infrastructure-as-code deployments, monitoring and alerting stacks, and hardware acceptance and regression testing. Deep familiarity with the NVIDIA technology stack, including HGX platforms, NVLink/NVSwitch, CUDA-level debugging, and NCCL performance tuning. Strong leadership skills with the ability to set technical direction, solve ...

request scheduling and KV-cache management to support in API Gateway.* **GPU kernels migration to CuTe DSL.** Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.* **Rust-native serving runtime.** Develop our internal Rust ...

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 ...

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 ...