76 to 100 of 104 NVIDIA Jobs in the UK

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. The Role We're hiring a Technical Associate to support our Chief Technology Officer (CTO More ❯

unicorn status. In February 2024, G2 named us as the fastest growing company in the world. We've raised over $150M in funding 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 We are seeking a highly analytical Strategic Finance Manager to support our More ❯

unicorn status. In February 2024, G2 named us as the fastest growing company in the world. We've raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. Join the rocket ship while it's taking off! As a People Operations Specialist, you More ❯

Experience of video hardware OR camera tracking Experience with at least ONE media server (disguise, Pixera, Watchout, Hippotizer etc ) Experience of at least ONE managed networks (such as Cisco, NVIDIA, Ubiquiti) Experience mentoring or training junior members of the team Experience troubleshooting complex, technical problems Experience in a client facing role Skills, behaviour and values we are looking for: Excellent More ❯

conferences (some with an 80% retention rate) as well as a number of launch events and you will be primarily selling to tech clients, including the likes of Microsoft, NVidia, ARM, Intel and similar. Since there are a high number of launch events planned in the next 12 months you will likely spend 70% of your time focused on winning More ❯

into a fast-growing (large-scale) exhibition and conference portfolio? Are you interested in selling to a wide variety of businesses, from manufacturers and tech companies like Google and Nvidia to retailers like Amazon? If so, please read on The Company A highly established, dynamic, and friendly events business with many fast-growing portfolios seeks an Exhibition and Sponsorship Sales More ❯

as Direct3D, Metal , and Vulkan . Proficiency in C++, with a focus on performance-critical systems. Performance optimization skills, including hands-on experience with profiling and debugging tools like NVIDIA NSight, RenderDoc , and PIX . Solid understanding of core real-time rendering algorithms (e.g., deferred rendering , shadow mapping ). Bonus points if you: Experience with commercial game engines , such as More ❯

as Direct3D, Metal , and Vulkan . Proficiency in C++, with a focus on performance-critical systems. Performance optimization skills, including hands-on experience with profiling and debugging tools like NVIDIA NSight, RenderDoc , and PIX . Solid understanding of core real-time rendering algorithms (e.g., deferred rendering , shadow mapping ). Bonus points if you: Experience with commercial game engines , such as More ❯

reach unicorn status. In February 2024, G2 named us as the fastest growing company in the world. Weve raised over $150M in funding 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: Are you ready to play a key role in shaping the future More ❯

new +$B segment ourselves and need incredible talent to achieve this ambitious goal together. Customers love Rootly. Some of the fastest growing companies around the world such as NVIDIA, Figma, Canva, Tripadvisor, Squarespace and more rely on Rootly to power their critical incident management process. They obsess over our delightful enterprise-ready platform and unique partnership model. See why 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 Reporting to the Head of Customer Success and focusing on accounts in UK 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. About the role We're looking for a Social-First Video Editor to help create 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 Reporting to the Head of Customer Success and focusing on accounts in Europe 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. About the role Synthesia is seeking an experienced SaaS Sales leader to join as our 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. About the role Synthesia is seeking an experienced SaaS Sales leader to join as our More ❯

or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and CUDA/Nvidia for performance optimization in training and inference. Collaborate with data engineers, software developers, and product teams to deliver AI/ML capabilities in production. Conduct rigorous model evaluations, A/… based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks. Working knowledge of CUDA, Nvidia GPUs, and distributed training. Experience with AWS services (S3, Lambda, EC2, SageMaker, Bedrock, etc.). Desired: Experience deploying models as APIs/microservices in cloud-native environments. Familiarity with prompt More ❯

platform C++ code libraries (Linux, Windows, Android) using CMake. Build and integrate robotics applications using ROS, OpenCV, Boost, and Jsoncpp. Implement and optimise object detection models (e.g. YOLOv5) with Nvidia CUDA acceleration. Develop and deploy cloud-based applications using Azure DevOps, Docker, and CI/CD pipelines. Write unit tests with Google Test Framework and manage automated testing in Azure … YAML scripting). Interface with sensors and hardware (Nvidia Jetson, Raspberry Pi, depth cameras, 3D point cloud sensors). Develop communication protocols and safety systems for autonomous navigation using Mavlink. Collaborate with pilots and stakeholders to ensure safe handover between autonomous and manual control. Maintain C++ cross-language interfaces, particularly with C#. Required Skills: Strong proficiency in C++ and object … interface development. Knowledge of Mavlink and flight controller integration. Desirable Experience: Working with depth cameras, 3D point cloud data, and sensor fusion techniques (e.g. Kalman filters). Experience with Nvidia Jetson, Raspberry Pi, and embedded systems. Machine learning for object detection (YOLOv5) and CUDA optimisation. Strong communication and stakeholder engagement skills. Azure DevOps and YAML pipeline scripting. More ❯

time posted on Posted 30+ Days Ago job requisition id R1266 Job Description We are a leading GPU cloud company specializing in high-performance computing (HPC) clusters powered by NVIDIA GPUs and advanced networking technologies. Our solutions empower industries like AI, machine learning, and scientific research to tackle complex computational challenges. We're looking for a skilled Operations Engineer to … infrastructure operations, system administration, or technical support, ideally within HPC or GPU-accelerated environments. Strong troubleshooting skills with high-performance networking technologies (InfiniBand, RDMA, or similar). Familiarity with NVIDIA GPU technology, HPC architectures, storage solutions and high-performance file systems. Hands-on experience with monitoring tools and system management for large-scale infrastructure. Proficiency in Ansible and scripting (e.g. More ❯

us to keep pace with our rapid growth and focus on high impact technical challenges. We work closely with some of the most renowned tech companies and organisations, including NVIDIA, The Broad Institute (Harvard), Microsoft and AWS. We're an inclusive, flexible workplace, where biologists, engineers, data and machine learning scientists, and field explorers are united by a sense of … problems (from application logs down to TCP/IP) Deep knowledge of Linux and container based systems and how they work (namespaces, CNI, networking etc.) Experience operating clusters of NVIDIA GPUs and complex networking configurations (IB, High-speed fabrics, multiple CNIs etc.) At least 4 years of experience in industry working with the above tools and technologies. Nice to Have More ❯

experience in a presales role, particularly in cloud-native environments. 1+ year of experience with generative AI technologies Familiarity with key AI platforms such as AWS Bedrock, DataRobot, and NVIDIA AI Enterprise. Experience designing, building, and operating gen-ai environments. Proven ability to design and white board end to end Retrieval Augmented Generation (RAG) pipelines-including data ingest, vector DB … growth. You have a Bachelor's Degree (or equivalent work experience); MBA preferred. AI Certification such as AWS Certified Machine Learning, Google Cloud ML Engineer, Azure AI Engineer or Nvidia Certified GenAI/DeepLearning would be a strong advantage. Strong presentation skills, comfortable speaking to large audiences (up to 1,000 people). Excellent communication and collaboration skills to work More ❯

Monitor and troubleshoot distributed systems: Perform end-to-end diagnostics across compute, fabric (e.g., InfiniBand), and storage layers. Stay current with cutting-edge trends in AI infrastructure such as NVIDIA Hopper/Blackwell architectures, model-serving patterns, and emerging ML system designs and disseminate insights internally and externally. Own technical partner relationships: Act as the primary technical contact for GPU … high-level business context. Qualifications: Technical depth in GPU-cloud infrastructure: Experience with large-scale GPU clusters using Kubernetes and/or SLURM over InfiniBand; deep understanding of the NVIDIA driver stack, NCCL performance tuning, and benchmarking. Strong customer or partner-facing experience: Able to bridge technical and business conversations, explain complex systems to mixed audiences, and build trust through More ❯

baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance. Responsibilities : Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs. Design, prototype, and scale innovative architectures to enhance model intelligence. Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance. Investigate, debug, and improve both model … in AI R&D (with good publications in A conferences). Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer More ❯

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of … can make a lasting impact on the world. We are seeking a creative, innovative, and adaptable professional to manage proposals, drive revenue, and support the ongoing growth of the NVIDIA Enterprise Proposal Center (NVEPC) within our Worldwide Field Operations (WWFO) organization. The NVEPC provides global sales teams and partners with high-value product, service, and solution proposals, from a self … service portal to full-service support! What You'll be doing: Own and manage multiple, simultaneous proposals for NVIDIA's enterprise solutions, ensuring high quality, compliance, and win potential. Partner with global sales, field teams, and product experts to identify, qualify, and pursue high-impact opportunities. Develop compelling value propositions and win strategies tailored to customer needs and market trends. More ❯

Support hardware refresh cycles, upgrades, and component replacements. Document deployment processes and hardware configurations. Requirements 3+ years in data centre or large-scale hardware installation roles Strong experience with NVIDIA DGX/HGX systems or similar GPU deployments Familiarity with structured cabling standards (CAT6/OM4) Experience working in hyperscale environments preferred Certifications: CompTIA Server+, DCIM training, manufacturer training (NVIDIA More ❯

Global Sales, AWS Job ID: AWS EMEA SARL (UK Branch) AWS is seeking a Senior Solutions Architect specializing in AI and HPC on Accelerated Compute platforms, with expertise in NVIDIA GPU, Inferentia, and Tranium-based compute workloads for machine learning applications. As an HPC/AI Accelerated Compute Specialist, you will be the technical expert for complex GPU-intensive workloads … helping customers optimize performance across AWS's compute portfolio. You'll leverage Nvidia CUDA and Neuron SDKs to maximize efficiency and cost-effectiveness while enabling seamless integration with popular ML frameworks across diverse industries. These will include a variety of training and inference AI workloads, as well as GPU-accelerated HPC environments, and CPU to GPU migration. You'll work … in all things GPU acceleration based. Key job responsibilities - HPC/AI Architecture - Design and implementation of large-scale HPC solutions and AI training and inference workloads, based on Nvidia and AWS infrastructure - Acceleration Technologies - Optimization of Nvidia and Tranium-based GPU cluster archirtectures for ML/AI applications using CUDA/Neuron/EKS/Slurm - Performance Tuning - Maximizing More ❯