NVIDIA designs graphics processors, computing systems and software for artificial intelligence and graphics applications.
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The role develops NVIDIA’s commercial partnerships with independent software vendors and cloud partners across EMEA. It aims to integrate NVIDIA software and frameworks into partner offerings and accelerate their adoption by businesses. The role coordinates sales, technical and product teams and tracks the pipeline and adoption results.
The Technical Account Manager supports NVIDIA Cloud and Enterprise customers in resolving technical issues relating to HPC installations and AI server technologies. They handle hardware and software incidents and document support methods with internal teams. The role involves Linux, networking, Kubernetes and virtualisation technologies, among others.
NVIDIA is looking for a Senior Account Manager to develop its AI and accelerated computing solutions among capital markets organisations in EMEA. The role involves managing strategic accounts, increasing adoption of NVIDIA platforms and driving revenue growth. It requires 12 years or more of experience selling solutions to decision-makers and a Bachelor’s degree.
NVIDIA is looking for a Solution Architect specialising in sovereign AI to support public-sector clients in the UK and Europe. The role involves designing and deploying AI solutions, supporting proofs of concept and advising clients’ and partners’ technical teams. At least five years’ experience is required, along with proficiency in Python, PyTorch, Kubernetes and containers.
NVIDIA is seeking a software engineering intern to join its physics simulation team in Zurich and contribute to developing Newton features and workflows for robot learning. The six-month internship, scheduled for 2027, focuses on numerical simulation, robotics, experiments and software development using tools such as PhysX, MuJoCo, Isaac Sim, Isaac Lab, Warp and CUDA.
NVIDIA is recruiting a deep learning compiler engineering intern to work on CUDA Tile IR in Zurich, Switzerland. The internship focuses on optimising CUDA Tile IR, analysing deep learning networks and developing compiler optimisation algorithms, using C/C++ and technologies such as MLIR, LLVM and XLA.
NVIDIA is seeking a Principal System Software Engineer to design and operate Software Defined Networking solutions for its AI Clouds. The role covers network software development, cloud orchestration, observability, CI/CD pipelines and large-scale production support.
NVIDIA is seeking a Principal Engineer to design and develop the data collection infrastructure for its AI models. The role covers distributed systems, large-scale web crawling and data ingestion, with responsibilities for technical leadership and mentoring.
NVIDIA is looking for a software engineering intern to design backend services, APIs and AI agents for its internal platforms. The role covers automated workflows, distributed systems, observability and the integration of LLMs into production. An education in computer science or engineering, as well as skills in Go, Python or C#, are required.
NVIDIA is looking for a Senior Cloud Partner Marketing Manager to lead its cloud partner marketing strategy in EMEA. The role covers regional campaign planning, MDF budget management and marketing performance analysis, with 10 or more years of experience in high-tech or enterprise marketing.
NVIDIA is looking for a Senior Software Engineer to design and develop scalable software systems for its cloud platform and multi-tenant infrastructure. The role covers network and system automation, maintainable APIs, distributed systems and end-to-end cloud deployments.
NVIDIA is looking for a GenAI algorithms intern to optimise inference efficiency for models such as LLMs, VLMs and diffusion models. The internship covers designing optimisation algorithms, integrating them into AI frameworks and analysing GPU performance, using Python and PyTorch among other tools.
NVIDIA is looking for a Senior C++ Engineer to design and develop software for its NIC and DPU networking platforms. The role involves optimising system performance and collaborating with architecture, firmware, hardware, validation and software teams.