26 to 50 of 231 NVIDIA Jobs in England

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 ...

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 ...

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 ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred.Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred.Kubernetes: CKA or CKAD — preferred.TOGAF 9/10 or equivalent enterprise architecture certification … sponsors.Thrives on ambiguity in a fast-moving technology space; makes sound architectural calls with incomplete information.Collaborates effectively across sales, pre-sales, delivery, and partner (NVIDIA, hyperscaler, ISV) teams.Education & ExperienceBachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent demonstrable experience.Advanced degree (MS in CS/ ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent … ambiguity in a fast-moving technology space; makes sound architectural calls with incomplete information. Collaborates effectively across sales, pre-sales, delivery, and partner (NVIDIA, hyperscaler, ISV) teams. Education & ExperienceBachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent demonstrable experience. Advanced degree ...

pressure environment. Master's or PhD in Engineering, Physics, Computer Science, Mathematics, or a related scientific discipline (or equivalent practical experience). Experience with NVIDIA PhysicsNemo or similar physics-informed machine learning frameworks. Knowledge of fluid dynamics concepts and CFD data analysis. Experience in motorsport, Formula 1, or aerospace aerodynamics. ...

work and good attention to detail with an imaginative approach to problem solving. The ability to work independently with minimal supervision. Desirable: Experience using NVIDIA Jetson or similar AI computing platforms. Wireless communications such as Bluetooth, WLAN, cellular, low-power radio. Wired communications such as CAN, RS232, RS485 ...

paced, high-pressure environment.Master's or PhD in Engineering, Physics, Computer Science, Mathematics, or a related scientific discipline (or equivalent practical experience).DesirableExperience with NVIDIA PhysicsNemo or similar physics-informed machine learning frameworks.Knowledge of fluid dynamics concepts and CFD data analysis.Experience in motorsport, Formula 1, or aerospace aerodynamics.Additional InformationAtlassian Williams ...

environment. Master's or PhD in Engineering, Physics, Computer Science, Mathematics, or a related scientific discipline (or equivalent practical experience). Desirable Experience with NVIDIA PhysicsNemo or similar physics-informed machine learning frameworks. Knowledge of fluid dynamics concepts and CFD data analysis. Experience in motorsport, Formula 1, or aerospace aerodynamics. ...

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 ...

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 ...

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 ...

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 ...

NVIDIA Corporation in Reading, United Kingdom, is seeking a Senior Software QA Test Development Engineer to design and implement scalable, end-to-end SWQA workflows, automated test frameworks, and tooling for complex software products. You will build coverage for Linux-based, containerized, and Kubernetes environments and lead quality initiatives across ...

UART, CAN, Ethernet). Knowledge of containerisation (Docker, Kubernetes). Experience with BSP generation , real-time kernel configuration , or SoC platforms (e.g. NVIDIA). Background in the space, robotics, or autonomy industries. #J-18808-Ljbffr ...

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 ...

fundamentals and how LLMs and Deep Learning models execute on that hardware (inference vs. training, matrix multiplication, KV-caching, etc.) Proficiency with profiling tools (NVIDIA Nsight, PyTorch Profiler) and monitoring stacks (Prometheus, Grafana) Capability to work in Python for data analysis (Pandas, NumPy) and scripting The following are also highly ...

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 ...

improve infrastructure using infrastructure-as-code and GitOps practices, driving automation across provisioning, deployment, and operational workflows Optimise GPU workload scheduling using Kubernetes and NVIDIA tooling, and implement monitoring, logging, and alerting to ensure platform stability Lead incident response and drive continuous improvement of reliability across the platform Maintain strong ...

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 ...

Veritas' enterprise data protection business, the company's solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We've been named ...

Experience running corporate/campus networks: wired and wireless, switching, NAC/802.1X, VPN and remote accessClear communicator who enjoys teachingBonus: 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 ...

Experience with automation platforms such as Python, UiPath, Pega, or other workflow, process, and decision automation tools. Relevant AI and cloud certifications, such as NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) or AWS Certified AI Practitioner. Familiarity with the AI regulatory and policy landscape, model releases ...

Experience with automation platforms such as Python, UiPath, Pega, or other workflow, process, and decision automation tools. Relevant AI and cloud certifications, such as NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) or AWS Certified AI Practitioner. Familiarity with the AI regulatory and policy landscape, model releases ...

Modern embedded wireless technologies and standards (LoRa, Wi‐Fi, 4G, mesh etc.) Experience with battery technologies and knowledge of control theory Deploying software on Nvidia Jetson, or Raspberry Pi or ARM devices Areas we want you to highlight if your skills match Embedded software optimization Power profiling and power optimization ...