1 to 25 of 32 NVIDIA Jobs in England

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 ...

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 ...

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 ...

admin work). We raised a $30M Series A from top investors and built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks. About The Role As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state ...

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 ...

round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Remote (US East Coast preferred ...

sustainability and energy‐efficiency goals. Compute, Storage & Networking Implementation Architect and deploy robust infrastructure using hardware/software from vendors such as Dell, HPE, NVIDIA, Cisco, NetApp, and Juniper. Apply deep knowledge of high‐performance computing (HPC) and low‐latency networking to AI/ML solution design. Integrate automation tools … 10+ years of hands‐on experience in infrastructure architecture, systems engineering, or solution architecture. Proven track record with AI/ML infrastructure design (e.g., NVIDIA GPUs, distributed compute, high‐speed storage). Demonstrated understanding of data center operational constraints including power provisioning, rack planning, and cooling technologies. Technical Expertise: Deep ...

round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. As a Product & Privacy Counsel ...

round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Role Purpose We're looking ...

similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial product development environment. Communicator: You are confident ...

Genuine interest in robotics and autonomous systems. Desirable Skills & Experience Experience with the Unitree SDK or other quadruped robotic platforms. Experience deploying software to NVIDIA Jetson or ARM edge devices. Docker experience. Experience developing Behaviour Trees. Computer Vision or Edge AI experience. TensorRT optimisation. Experience working with RTSP or WebRTC ...

LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world ...

clients to create meaningful AI strategies, build production-ready AI solutions and effectively integrate those solutions in their businesses. Our alliance with OpenAI and NVIDIA (among others) enables us to lead the industry in building valuable, scalable, enterprise-ready solutions for businesses. We’re driven by applied R&D, prototyping ...

team. Responsibilities of the Alliances Manager: · Identify, onboard, and manage strategic partnerships for cooling with AI and HPC providers such as Dell, HPE, SuperMicro, Nvidia etc. · Build and maintain strong executive and operational relationships with key stakeholders across Europe. · Identify and develop joint value propositions, co-selling opportunities, and integrated ...

Product Management: Test and troubleshoot CCTV systems, DVRs, IP cameras, routers, and VMS software. Support AI development projects using edge computing hardware like NVIDIA Jetson. Technical Support and Communication: Manage helpdesk tickets from start to finish. Provide technical support via phone and email. Ideal Candidate Profile: Passion for hardware, especially ...

better outcomes, 80% less admin work). We have raised a $30M SeriesA, built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks. About The Role The AI Product Engineer will design, develop, and deploy AI‐powered software solutions that automate real‐world processes. The engineer ...

round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Lead ...

round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Synthesia ...

opportunity to take technical ownership of a real-world, AI-driven edge computing platform built around camera-based systems and NVIDIA Jetson hardware. This Senior Embedded Electronic Systems Engineer role sits at the heart of developing intelligent, embedded products that process video and sensor data directly on the device, operating ...

models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD). Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines. ...

round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Synthesia is moving from ...

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 sophisticated AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with … passion for developer advocacy and a talent for communicating how NVIDIA technology can solve sophisticated, real-world challenges.**What You'll Be Doing:*** Support developers in your ISV segment as a technical consultant, resolving issues and promoting NVIDIA technology adoption.* Accelerate critical workloads by demonstrating ground breaking solutions that integrate ...

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 Responsibilities Build 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 ...

shape across the platform. Responsibilities Own the Runtime & Serving Stack: Design, build, and extend the distributed inference and serving stack (e.g. vLLM, SGLang, NVIDIA Dynamo, TensorRT-LLM) onto DX-1, rather than treating any layer as a black box. Scale Distributed Inference: Define how inference scales across many accelerators: tensor … network/accelerator boundary. Demonstrated ownership of a hard, end-to-end systems problem, ideally extending a distributed inference/serving stack (vLLM, SGLang, NVIDIA Dynamo, TensorRT-LLM) in production, with specifics on what you built or changed and why. Distributed inference at scale: parallelism strategies, collective communication, KV-cache ...

seeking an EMEA Strategic AI Ecosystem & NVIDIA Business Development Lead to identify and accelerate strategic AI infrastructure opportunities originating through NVIDIA and the broader AI ecosystem across EMEA. The role builds trusted partnerships with NVIDIA, cloud providers, AI-native companies, NeoCloud providers, and ecosystem partners to drive pipeline growth ...