10 of 10 Permanent NVIDIA Jobs in the South West

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 What you bring 5+ Years Proven experience in globally scaled, performance-intensive environments operating to a 24/ ...

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 ...

Infrastructure Operations High-Performance Computing (HPC) Linux Systems Administration Technical Operations Leadership Service Delivery & Operational Excellence Stakeholder Management Desirable Research Computing Environments GPU Infrastructure (NVIDIA, CUDA) Scientific Computing Distributed Computing Cloud Platforms (Azure, AWS or GCP) Infrastructure Automation DevOps Practices,CI/CD Network Infrastructure & Storage Platforms Research Technology Platforms ...

playing a key role in advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical ...

computer vision, and share what we learn across the company. We work mostly in Python, with some Go, deploying models and algorithms to NVIDIA Jetson devices running DeepStream pipelines, supported by Docker, GitHub Actions and Azure. W hat success looks like Your work regularly reaches production and makes a measurable ...

accelerated HPC infrastructure in a 24/7 production environment. You will work across network, storage, virtualization and orchestration with hands‐on Linux expertise, NVIDIA GPU ecosystems, RoCE/InfiniBand, and performance benchmarking. This role champions observability, automation and on‐call reliability, shaping next‐gen HPC platforms within a globally ...

will work across model architectures, calibration, and end-to-end performance in production. You’ll collaborate with data and plant monitoring teams, deploy on NVIDIA Jetson devices, and spend time on site at demo centres and customer sites. The role requires 3–5 years of Python production experience and strong ...

leaning mindset that takes measured risks to move fast A deep understanding of embedded software and electronic systems such as STM, Raspberry Pi and Nvidia devices, sensors and databuses Familiarity with ROS2 Proven expertise in design, integration, and testing robotic/embedded systems Intuitive problem-solving skills and first-principles ...

recruiting for an experienced Embedded Systems/Software Integration Engineer to develop and integrate software for an edge-computing system based around NVIDIA Jetson. The role will involve integrating a range of hardware and software components into an existing system, including digital cameras, IMUs, GNSS, SSD storage and other peripheral … travel to Ukraine (all training and briefings will be provided) Key Responsibilities Jetson/Embedded Linux Develop, configure and maintain software running on NVIDIA Jetson Orin Nano platforms. Work extensively with Ubuntu Linux in an embedded environment. Manage system resources including: Diagnose and resolve hardware/software integration problems. Configure ...

generation GPU infrastructure at significant scale. You will bring strong breadth across bare metal, networking, storage, virtualisation, and orchestration, alongside deep HPC experience including NVIDIA GPU ecosystems, RDMA networking (RoCE and InfiniBand), and performance validation and benchmarking. Strong Linux and distributed systems expertise is essential. Alongside operational ownership, this … high‐performance computing infrastructure. As a HPC Infrastructure SRE, you’ll work hands‐on with 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 ...