1 to 25 of 76 NVIDIA Jobs in the UK

focus on high-performance environments is ideal but not mandatory. Understanding in InfiniBand, RDMA, and advanced network architectures is a bonus. Certifications (e.g., CCIE, NVIDIA DPU Certification) is a bonus. Linux System & Network Security: Contribute to network-related Linux administration, ensuring high availability, security, and performance. Work with an understanding More ❯

computing environments Proficiency in C++, Python, ROS/ROS2, and embedded Linux development Knowledge of AI/ML model deployment on edge devices (e.g., NVIDIA Jetson, FPGA, ARM-based platforms) Understanding of communication protocols (CAN, Ethernet, SPI, I2C, UART) for sensor integration Ability to work in highly dynamic, mission-critical More ❯

and you'll continually put the customer first. Required experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Recent and substantial experience working for a small-mid size VAR (Value-added Reseller)/or MSP (Managed Service Provider) - Essential. In More ❯

Networking : Support scale-out storage, AI/ML GPU networking, and low-latency computing environments. Vendor Expertise : Leverage expertise in Cisco, Arista, Juniper, and NVIDIA products to drive architecture decisions. Qualifications: Proven experience in complex, high-performance network architecture. Strong focus on software-driven, agile methodologies. Expert knowledge of vendor More ❯

Networking : Support scale-out storage, AI/ML GPU networking, and low-latency computing environments. Vendor Expertise : Leverage expertise in Cisco, Arista, Juniper, and NVIDIA products to drive architecture decisions. Qualifications: Proven experience in complex, high-performance network architecture. Strong focus on software-driven, agile methodologies. Expert knowledge of vendor More ❯

and you'll continually put the customer first. Ideal experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Must have experience working for a value-added reseller or managed service provider. In depth knowledge of virtualised network functions (NFVs) and More ❯

develop individually and in line with business objectives. Ideal experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus) In depth knowledge of virtualised network functions (NFVs) and Cloud network virtual appliances (NVAs) Formal training or certification on network migration concepts and More ❯

and you'll continually put the customer first. Required experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Recent and substantial experience working for a small-mid size VAR (Value-added Reseller)/or MSP (Managed Service Provider) - Essential. In More ❯

and you'll continually put the customer first. Ideal experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Must have experience working for an value-added reseller or managed service provider. In depth knowledge of virtualised network functions (NFVs) and More ❯

and you'll continually put the customer first. Required experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Recent and substantial experience working for a small-mid size VAR (Value-added Reseller)/or MSP (Managed Service Provider) - Essential. In More ❯

and you'll continually put the customer first. Ideal experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). Must have experience working for an value-added reseller or managed service provider. In depth knowledge of virtualised network functions (NFVs) and More ❯

and you'll continually put the customer first. Ideal experience - In depth knowledge of major networking vendors - Fortinet, Palo Alto, Cisco, HPE Aruba and NVIDIA (Mellanox & Cumulus). MSP/VAR essential. In depth knowledge of virtualised network functions (NFVs) and Cloud network virtual appliances (NVAs) Formal training or certification More ❯

a well-managed ML lifecycle such as having model and data versioning, experiment tracking, feature store, CI/CD, and continuous training (CT) on NVIDIA GPUs. Mastery of Python and at least one programming language such as Java, Kotlin, Scala, Golang, Rust, C++ etc. Mastery in model serving practices for More ❯

Work as part of a multidisciplinary team to develop robust and secure-by-design software for a medical device Technical requirements: Essential experience with Nvidia Holoscan, Deepstream, and/or Gstreamer Excellent C++ development skills with C+ or higher, multi-threading, inter-process communication and performance optimisation Excellent knowledge of More ❯

showcasing AI and high-performance processing capabilities. What are we looking for? You have experience with System-on-Modules, SoCs, edge AI processors (e.g., NVIDIA Jetson, Qualcomm, NXP, Altera) Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), embedded systems, and high-performance computing architectures. Expertise in programming languages More ❯

Hardware Accelerator, TVM, or Code-gen Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central More ❯

machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent on experience Package of attractive benefits including private medical insurance and monthly travel card You will More ❯

important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a More ❯

mapping, and related system performance metrics. Experience in on-vehicle perception, computer vision on a dynamic platform. Experience developing software on embedded hardware, including NVIDIA Jetson boards (Xavier, tx2, etc). Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made More ❯

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. What will you be doing? You will join the Assisted More ❯

and operate our High-Performance Computing (HPC) infrastructure, making a fundamental contribution to our AI development. You will work hands-on with our various Nvidia clusters, comprising thousands of GPUs. Given the scale and complexity of our workloads, it's not just about maintaining our systems, it's about elevating More ❯

mapping, and related system performance metrics. Experience in on-vehicle perception, computer vision on a dynamic platform. Experience developing software on embedded hardware, including NVIDIA Jetson boards (Xavier, tx2, etc) The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base More ❯

and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP, NVidia) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML) Domain experience: Industry knowledge and experience in one of the following; BFSI, Manufacturing More ❯

machine learning. Experience with machine learning frameworks (e.g. PyTorch, TensorFlow). Hands-on proficiency in C++ and Python. Familiarity with robotic simulation environments (e.g. NVIDIA Omniverse, MuJoCo, PyBullet). Solid grasp of real-world constraints in robotic perception and manipulation. Strong communication and collaboration skills. Preferred Qualifications Experience implementing, testing More ❯

skills and ability to work collaboratively in a team-oriented environment. Differentiators: PhD in a technical field. Experience with other edge AI platforms (e.g., Nvidia Jetson, OpenVino etc.). Knowledge of cloud-edge integration strategies for model updates and performance monitoring. Experience with Docker and Kubernetes. Experience deploying and optimizing More ❯