226 to 250 of 305 NVIDIA Jobs in the UK

NVIDIA has been redefining computer graphics and accelerated computing for three decades. Today, we are tapping into the unlimited potential of AI to define the next era of computing. Doing what has never been done before takes vision, innovation, and exceptional talent. As an NVIDIAN, you will be immersed … partners. Solutions Architects are the primary technical contacts for our customers and engage deeply with researchers and application developers to drive the adoption of NVIDIA technology. We seek an individual who combines an intricate understanding of modern AI and HPC research workloads with expertise in accelerated computing and architecture. What ...

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest … intelligence. We need individuals who can enable customer and partner productivity. Our goal is to develop long-lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone who is always thinking about artificial intelligence, someone who can maintain alignment ...

collaboration with vendor engineering teams to ensure seamless AI platform operations. Responsibilities: Designing, deploying, and managing large‐scale HPC and GPU‐accelerated clusters, including NVIDIA based compute environments. Implementing and administering HPC scheduling and resource‐management systems (e.g., Slurm), including GPU partitioning, workload scheduling, and capacity planning. Architecting and optimising … other AI/HPC infrastructure and platforms. System administration experience with OS's like RHEL/CentOS, Ubuntu, tuning Linux kernel. Proficiency with Ansible, Nvidia and CUDA toolkits, Kubernetes and container orchestration. Understanding of automation, monitoring and security with GPU as a service. Extensive experience in system engineering, platform operations ...

including DevSecOps, platform engineering, Infrastructure as Code, CI/CD, source control, automation and observability. Provide architectural guidance for VMware Private AI Foundation with NVIDIA, GPU-enabled platforms, RAG-capable workload patterns and AI catalogue blueprints where relevant to Redcentric’s service portfolio. Stakeholder Engagement and Technical Leadership Work closely … Code, automation and source control practices. Experience with Private AI, GPU-enabled platforms, RAG-capable workload patterns or VMware Private AI Foundation with NVIDIA would be advantageous. Experience designing self-service AI, Kubernetes or platform services through catalogue-based consumption models would be advantageous. Senior VMware Architect Level Expectations Candidates ...

NVIDIA has been redefining computer graphics and accelerated computing for three decades. Today, we are tapping into the unlimited potential of AI to define the next era of computing. Doing what has never been done before takes vision, innovation, and exceptional talent. As an NVIDIAN, you will be immersed … partners. Solutions Architects are the primary technical contacts for our customers and engage deeply with researchers and application developers to drive the adoption of NVIDIA technology. We seek an individual who combines an intricate understanding of Multimodal AI and Physical AI with expertise in accelerated computing and architecture. What ...

inference across EMEA by identifying critical bottlenecks and driving the development of scalable, high-impact solutions. By aligning key team members within NVIDIA and customer organizations, you will influence strategic technology decisions to develop the deployment of next-generation AI inference at scale. What You Will Be Doing Lead … challenges across customer deployments including latency, efficiency, cost per token, memory utilization, and low-latency networking. Architect and optimize high-performance inference pipelines using NVIDIA Dynamo, TensorRT-LLM, vLLM, SGLang, and other inference backends, improving GPU utilization and AI cluster efficiency. Translate customer insights and deployment patterns into actionable product ...

ownership of the full simulation pipeline. You will integrate our physics models into modern simulation ecosystems (such as Unreal Engine 5 or NVIDIA Omniverse/Isaac Sim) to build high-fidelity test environments. Working closely with our Robotics, Perception, Aero, and Data engineers, you will architect the backend infrastructure required … leaves the ground. Key Responsibilities Build and maintain photorealistic virtual environments, owning the architectural choice and execution across engines like Unreal Engine 5 or NVIDIA Omniverse/Isaac Sim. Use modern techniques like NeRFs and Gaussian Splatting (based on real flight test footage) to create 1-to-1 digital twins ...

scale training environments, and contributing to pioneering Physical AI architectures that go far beyond standard generative models. Engineers will work in a high-growth, NVIDIA-backed environment with exposure to cutting-edge AI hardware and sovereign cloud technologies. Ready to design and scale infrastructure that powers the future … driven engineering? Apply now. Responsibilities Design and scale training environments using PyTorch Distributed, JAX, or NVIDIA NeMo across multi-node/multi-GPU clusters. Manage a mixed-compute strategy spanning public clouds (AWS/Azure) and sovereign industrial clouds for sensitive data. Implement optimization techniques like FSDP and custom kernels ...

will be the operation of cloud and co-located HPC platforms. The position requires strong Linux engineering experience, practical knowledge of HPC environments, including NVIDIA Base Command Manager, Azure CycleCloud and SLURM. The ability to diagnose complex cross-platform issues, and the confidence to work independently while acting … compute and storage components.Administer SLURM, including queues and partitions, scheduling policies, job submission, accounting, fair-share, reservations and troubleshooting failed or poorly performing workloads.Support NVIDIA Base Command Manager and Azure CycleCloud for cluster provisioning, node lifecycle management, monitoring and integration with SLURM.Work with engineering and scientific users to diagnose ...

technologies within AI video workflows. Integrate codec SDKs into video curation, data preparation and inference pipelines, including workflows using technologies such as NVIDIA NeMo Curator, with either native integrations or via frameworks such as FFmpeg and GStreamer. Build and maintain video processing pipelines covering ingest, frame and clip extraction, transcoding … Direct development experience with FFmpeg or GStreamer. Experience with GPU-accelerated video or AI technologies such as CUDA, PyTorch, TensorRT, Triton Inference Server or NVIDIA DeepStream. #J-18808-Ljbffr ...

innovate - we lead. Headquartered in Boston, with 4,000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/… award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting‐edge Generative ...

distributed training and inference strategies, including tensor, pipeline, data, and expert parallelism approaches.Experience optimising LLM inference workloads using technologies such as vLLM, TensorRT-LLM, NVIDIA NIM, SGLang, or similar high-performance serving frameworks.Expertise in model optimisation techniques including quantisation, mixed precision training and inference (FP8, GPTQ, AWQ, LoRA), and performance … tuning for large-scale model deployment.Advanced experience profiling, troubleshooting, and optimising GPU workloads using tools such as NVIDIA Nsight, DCGM, and related ecosystem technologies.Strong background in AWS cloud services, high-performance computing, distributed systems, containerised environments, and infrastructure automation.Experience with workload orchestration technologies such as Slurm, Kubernetes, Ray, or equivalent ...

training and inference strategies, including tensor, pipeline, data, and expert parallelism approaches. Experience optimising LLM inference workloads using technologies such as vLLM, TensorRT-LLM, NVIDIA NIM, SGLang, or similar high-performance serving frameworks. Expertise in model optimisation techniques including quantisation, mixed precision training and inference (FP8, GPTQ, AWQ, LoRA … performance tuning for large-scale model deployment. Advanced experience profiling, troubleshooting, and optimising GPU workloads using tools such as NVIDIA Nsight, DCGM, and related ecosystem technologies. Strong background in AWS cloud services, high-performance computing, distributed systems, containerised environments, and infrastructure automation. Experience with workload orchestration technologies such as Slurm ...

DOING: Rather than a long checklist, here’s what success in this role looks like: Own end‐to‐end cluster architecture for large‐scale NVIDIA GPU deployments — from customer requirement through rack layouts, BOM, power and cooling design, to production handover Design high‐performance network fabrics across compute (InfiniBand, RDMA … performance tuning at both the application and infrastructure layer. Strong working knowledge of containerisation and orchestration in HPC/AI contexts: Docker, Kubernetes, NVIDIA GPU Operator, and container‐native workload management. Background in an OEM, hyperscaler, neo‐cloud, or enterprise/research HPC environment, with demonstrable exposure to the full ...

this pivotal role, you will work directly with a small, strategic set of software solution providers (and their developers) to champion the adoption of NVIDIA’s advanced AI and computing platforms. Your mission is to partner with software companies to build AI agent-powered tools and integrate AI into their … products making use of the NVIDIA platform, including open models and software frameworks and libraries. The ideal candidate brings a blend of deep technical expertise, experience in technical account management, and combines these with a passion for developer advocacy, business development and a talent for communicating how NVIDIA technology ...

internal products. Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs. Performance Optimization Use hardware-specific toolkits to optimize model throughput without sacrificing accuracy. Evaluation & Benchmarking Conduct rigorous testing and evaluation of models on target hardware … Python for automation, and data processing. Hands-on experience with at least one of the following frameworks: SNPE/QNN (Qualcomm) , OpenVino (Intel), TensorRT (Nvidia), TensorFlow Lite Familiarity with Docker for creating consistent development and deployment environments. Bonus: Understanding Deep Learning fundamentals (CNNs, Transformers, Object Detection). Experience with model ...

users and internal products.Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs.Performance OptimizationUse hardware-specific toolkits to optimize model throughput without sacrificing accuracy.Evaluation & BenchmarkingConduct rigorous testing and evaluation of models on target hardware to ensure performance … maintainable Python for automation, and data processing.Hands-on experience with at least one of the following frameworks:SNPE/QNN (Qualcomm) , OpenVino (Intel), TensorRT (Nvidia), TensorFlow LiteFamiliarity with Docker for creating consistent development and deployment environments.Bonus:Understanding Deep Learning fundamentals (CNNs, Transformers, Object Detection).Experience with model conversion and quantization ...

systems. Understanding of IEC 60601-1-8 or equivalent safety standards. Experience working with state-machine-driven supervisors and fault-management systems. Experience with NVIDIA Jetson, CUDA or GPU-accelerated processing. Experience with Yocto and embedded Linux board-support packages. Experience with systemd, sd_notify, D-Bus and journald. Experience … Experience contributing to software FMEA activities and implementing risk controls. Engineering Environment You’ll be working with technologies and practices including: C++17 Embedded Linux NVIDIA Jetson/aarch64 Yocto CMake & Conan Docker GoogleTest FlatBuffers Boost.Asio D-Bus systemd/sd_notify Unix-domain sockets NVMe storage SonarQube MISRA C++ ...

NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly … maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization.Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems.Extend and integrate with NVIDIA’s SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms.Benchmark, profile, and monitor ...

compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative! **What you’ll be doing:*** Build, develop, and maintain high-performance runtime … compiler components, focusing on end-to-end inference optimization.* Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems.* Extend and integrate with NVIDIA’s SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms.* Benchmark, profile, and monitor key performance ...

emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms.The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion … developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges.**What You'll Be Doing:*** Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in EMEA AI Natives with multi-functional partners to drive adoption of NVIDIA technologies.* Accelerate ...

building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non‐technical audiences Deep expertise with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) Demonstrated experience with running large ...

EMEA Strategic AI Ecosystem & NVIDIA Business Development Lead at DDN is responsible for identifying, influencing, and accelerating strategic AI infrastructure opportunities originating through NVIDIA and the broader AI ecosystem across EMEA. This relationship-driven role builds trusted partnerships across NVIDIA, cloud providers, AI-native companies, NeoCloud providers, and ecosystem partners … infrastructure and ecosystem dynamics to shape opportunities from early engagement through deployment.Core ResponsibilitiesBuild and maintain executive, sales, partner, and technical relationships across NVIDIA and the broader AI ecosystem throughout EMEA.Identify and influence AI infrastructure opportunities being driven by NVIDIA, OEMs, VARs, cloud providers, and ecosystem partners.Develop and maintain a qualified ...

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars … scale.What you’ll be doing:Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs.Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and successfully transition these breakthroughs into enterprise ...

developing awareness of modern data centre networking concepts such as EVPN/VXLAN, software-defined networking, automation, observability and high-performance AI fabrics including NVIDIA InfiniBand. Working under the guidance of senior network, infrastructure and security engineers, the apprentice will contribute to improving network reliability, configuration standards, documentation, monitoring … EVPN/VXLAN, leaf-spine architectures, network overlays, segmentation and software-defined networking concepts Awareness of AI and high-performance computing networking concepts, including NVIDIA InfiniBand, RDMA, low-latency fabrics and GPU cluster connectivity Interest in network automation, telemetry, observability and infrastructure-as-code practices Entry requirements: an A-Level ...