Artificial Intelligence Jobs

CrowdStrike · United Kingdom

Join the Advanced Research Team to conduct vulnerability research and exploit development, analysing vendor patches to identify vulnerabilities and build proof-of-concept exploits. The role also involves reverse engineering, investigating 0-day and n-day exploitation, and developing automated tooling to process and analyse data at scale, with results published on the blog or at conferences.

CrowdStrike · Israel

Security researcher role on CrowdStrike Intelligence's Advanced Research Team, performing vulnerability research and exploit development across a wide range of targets. Day-to-day work includes analyzing vendor patches, identifying exploits in large file collections, reverse engineering, and building automated data collection and analysis tooling, with published research on the blog or at conferences.

NVIDIA · Reading

Lead the definition and implementation of hardware and software security architecture for next-generation networking products, taking a hands-on role in microarchitectural modelling, validation and standards work. Collaborate with internal hardware, software and research teams plus external partners on open-source and IO interfaces such as I2C, I3C, SPI, USB and PCIe, and engage with customers on security threats.

NVIDIA · United Kingdom

Lead security research, architecture and implementation for next-generation NVIDIA Networking products, taking a hands-on role defining hardware and software security solutions. Work across hardware, software, research and product teams, and with external partners, on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms.

Wayve · London

Owns reliability of large-scale GPU, Kubernetes and distributed AI training infrastructure, turning recurring operational problems into durable engineering solutions. Improves observability, automation, deployment safety, capacity planning and incident learning, and builds GitOps delivery with Argo CD or Flux. Works across AI Platform, Compute & Data Platform and Cloud Infrastructure teams.

NVIDIA · Belfast

Lead security research, architecture and implementation for next-generation NVIDIA Networking products, taking a hands-on role defining hardware and software security solutions. Work across internal teams and external partners on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms, guiding microarchitectural definition and open-source collaboration.

NVIDIA · Reading

Serve as the first line of technical expertise between NVIDIA, Hyperscaler partners and end-customers, with a primary focus on the Google Cloud (GCP) partnership. Develop and demonstrate GenAI and accelerated computing solutions, optimise GPU training and inference pipelines, and engage developers, researchers and senior technical leaders.

NVIDIA · France

Serve as the first line of technical expertise between NVIDIA, hyperscaler partners and end-customers, with a primary focus on the Google Cloud (GCP) partnership. Day to day involves proof-of-concept demonstrations, optimising GPU-accelerated training and inference pipelines, and engaging developers, researchers and technical executives to evangelise accelerated computing and Generative AI.

NVIDIA · Cambridge

Serve as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Work directly with labs and faculty on large language model workloads, integrating frameworks and libraries into research projects. Deliver hands-on training, workshops and lectures, and track emerging research trends to shape prototype solutions.

NVIDIA · Reading

Acts as the primary technical contact for academic and research partners, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers workshops and trainings, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and involves around 30% travel.

NVIDIA · Italy, Remote

This role involves owning the fabric operations of NVIDIA's Cloud Partner (NCP) fleets, including NVLink/NVSwitch partition management, switch software and firmware lifecycle, and fabric validation. You will work closely with customers, partners, and cross-functional teams to ensure reliable and efficient network operations in large GPU estates.

NVIDIA · United Kingdom

Acts as the primary technical contact for academic and research partners, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers workshops and trainings, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and involves around 30% travel.

NVIDIA · Courbevoie, France

Engages directly with customers and partners to architect and validate large-scale GPU-accelerated HPC/AI platforms, spanning hardware handover through Day 2 production stability. Works tool-agnostically across upstream Kubernetes, KubeVirt, Slurm and observability stacks, owning cluster-wide validation, burn-in and fleet reliability targets.

NVIDIA · United Kingdom

Engages directly with customers and partners to architect and validate large-scale GPU-accelerated HPC/AI clusters, spanning hardware handover through Day 2 production stability. Works tool-agnostically across upstream Kubernetes, KubeVirt, Slurm, Prometheus/Grafana and Cumulus/SONiC, owning burn-in testing, fleet reliability and enablement runbooks.

NVIDIA · Germany

Engages directly with customers and partners to architect and validate large-scale GPU/HPC clusters, owning full-solution validation and Day 2 production stability at fleet scale. Works tool-agnostically across upstream Kubernetes, KubeVirt, Slurm, Prometheus/Grafana and Cumulus/SONiC, acting as hands-on technical leader and trusted advisor for assigned accounts.