1 to 25 of 51 NVIDIA Jobs in England

certificates and tokens Virtualisation and Containerisation: Experience with Docker or Podman for containerisation Container management using Kubernetes GPU containerisation experience with tools like NVIDIA Container Toolkit or Run:AI Architectural Styles: Strong knowledge in Microservices, Serverless, and Edge compute Proficiency with APIs, both RESTful and Protobuf GRPC Familiarity with stream ...

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 ...

with Platform Engineering/Platform SRE to fully support both our infrastructure and platform stacks. Willingness to cross train with HPC Engineering, supported by NVIDIA to enhance our HPC supportability offering Requirements 5+ Years Proven experience in globally scaled, performance-intensive environments operating to a 24/7 support model ...

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 ...

Context Protocol) architecture and tool design; API design (FastAPI/REST/microservices); Integration with enterprise systems and third-party APIs AI Safety & Governance - NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control Evaluation & ModelOps - Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks ...

Have Experience with real-world sensor data (e.g., RGB-D, thermal, radar) Model optimisation/deployment tooling (ONNX, TensorRT) Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices) Familiarity with MLOps tooling (e.g., DVC, MLflow) Relevant open-source contributions in computer vision Interested? If this sounds like ...

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. We’re looking ...

Complex Systems: Manage codebases integrating hardware, sensors, vision, and AI. Innovation: Partner with Data Science to deploy Machine Learning models to edge devices (e.g., NVIDIA Jetson). Leadership: Mentor junior engineers and drive best practices across the full SDLC. What Were Looking For Expertise: 5+ years of professional experience ...

CoCo Experience with Ceph or distributed storage systems Familiarity with Prometheus, Grafana or OpenTelemetry Experience with BGP, RDMA or high performance networking Exposure to NVIDIA GPU infrastructure or bare metal cloud environments Why this role matters AI infrastructure is constrained by the ability to deliver reliable compute at scale. This ...

senior engineer from a l eading AI lab (Anthropic, OpenAI, Google DeepMind, and the like) or Big Tech (Google, Microsoft, Amazon, Meta, Nvidia, and the like), or an exceptional researcher (e.g. from IIT, Stanford University, UCL, or equivalent) ready to step into a high-impact leadership position. This ...

workflows Knowledge of automated testing methodologies Strong communication and collaboration skills Desirable C++ development experience Embedded Linux exposure Machine learning deployment experience MLOps experience NVIDIA Jetson experience Experience developing software that interfaces with hardware Experience within engineering, instrumentation, industrial technology or related product environments About ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon ...

L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon ...

Geneve) Support and integrate High Assurance IP Encryptors (HAIPE) Deploy and troubleshoot VMware NSX environments Work with whitebox networking technologies (e.g. Mellanox, Cumulus Linux, NVIDIA) Support network automation using tools such as Ansible and Terraform Contribute to scalable, automated and orchestrated network deployments Required Skills & Experience Strong background in enterprise ...

Linux diagnostics, benchmarking tools, and electronics schematics Excellent communication skills and ability to work in complex environments Nice to Have Python programming Experience with NVIDIA platforms or microcontrollers Knowledge of AWS or cloud environments Experience with automated testing Background in video processing, streaming, or camera systems Experience in medical devices ...

head manufacturers, and have experience in transforming application and academic research achievements into commercial products. Experience with GPU acceleration using AMD or Nvidia GPUs. Experience in developing inference backends and compilers for GPU or NPU. Experience with AI/ML inference frameworks like ONNXRuntime, IREE or TVM. Experience with deploying ...

gRPC. Experience with Linux build environments like Yocto or Buildroot. Experience in building Linux kernels and modifying or writing device drivers. Experience with Nvidia’s Jetson platform is a plus. Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus. Strong communication skills, with the ability ...

Commercial product development experience STM32 experience RTOS experience, ideally FreeRTOS Experience with embedded communications protocols Strong debugging and problem-solving skills Nice To Have Nvidia Jetson Embedded Linux Edge AI/Machine Learning TouchGFX IoT connectivity Embedded cybersecurity ...

scale Ethernet fabric experience across BGP, ECMP and low latency operations IPv6 and public ASN experience Multi vendor experience across environments such as NVIDIA Mellanox, Arista, Juniper, Cisco, whitebox or ODM hardware Experience from a neo cloud, hyperscaler, major vendor, GPU infrastructure company, HPC platform or AI infrastructure provider Must ...

scale Ethernet fabric experience across BGP, ECMP and low latency operations IPv6 and public ASN experience Multi vendor experience across environments such as NVIDIA Mellanox, Arista, Juniper, Cisco, whitebox or ODM hardware Experience from a neo cloud, hyperscaler, major vendor, GPU infrastructure company, HPC platform or AI infrastructure provider Must ...

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 ...

Role - Ecosystem Channel Lead (NVIDIA) - UK Location - United Kingdom Experience: 12–15+ Years Ecosystem Channel Lead (NVIDIA) - UK 1. Business Development Lead (AI Growth Evangelist) – EMEA Regions Role Summary: Seasoned Business Development Lead responsible for driving AI business growth in the region. Acts as an “Evangelist” for HCLTech-NVIDIA solutions … Pipeline Generation & Sales – Identify and pursue AI opportunities in the region, building a robust sales pipeline and converting leads into order book revenue. Leverage NVIDIA’s ecosystem (products, platforms, partners) to craft solutions addressing client needs, and drive deal closure in coordination with sales teams. • Client Engagement – Proactively engage ...

Advanced Load Balancer VMWare Advanced Network and Security Services VMware Site Recovery Manager VMware vSphere Replication VMware HCX vCloud Director (vCD) Private AI with NVIDIA Product lifecycle processes, such as certificate replacement, password rotation and product upgrades. If you don’t tick all the boxes but feel you have ...