Latest computer vision Jobs

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Senior Performance Engineer

Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. Design and execute performance studies, diagnose bottlenecks, and drive optimizations. Collaborate with deep learning engineers and platform teams to improve AI system performance and efficiency.

NVIDIA United Kingdom
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Senior Performance Engineer

This role involves analyzing end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. The engineer will design performance studies, identify bottlenecks, and drive optimizations in collaboration with deep learning and platform teams. Work focuses on profiling, benchmarking, and delivering actionable insights to improve the efficiency and reliability of NVIDIA's DGX Cloud AI systems.

NVIDIA
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Software Engineer, Codex Core Agents

This role involves designing and building the infrastructure that powers Codex agents in production, focusing on sandboxed execution, orchestration, stateful workflows, and model rollouts. You will work on distributed systems, developer tooling, and AI to ensure Codex is fast, reliable, and secure.

OpenAI London, United Kingdom
Permanent
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Applied AI Engineer, Codex Core Agent

This role involves improving the performance of Codex agents in real-world software engineering tasks, working closely with research, infrastructure, and product teams. Responsibilities include designing agent behaviors, evaluating performance, enhancing robustness, and building feedback loops to improve the agent's usefulness and reliability.

OpenAI London, United Kingdom
Permanent

Applied AI Engineer, Beneficial Deployments (Life Sciences - Clinical Trials/Drug Repurposing)

This role involves working with nonprofits, research institutes, and academic medical centers to deploy AI in clinical trials and drug repurposing for rare and neglected diseases. Responsibilities include designing and reviewing clinical trial protocols, building tools for drug repurposing, and developing reusable infrastructure.

Anthropic London, United Kingdom £225,000 – £255,000 pa

[London] Applied AI Architect, Partnerships

This role involves building and maintaining technical relationships with global and regional system integrators and cloud partners, enabling their AI practices, and supporting strategic customer deals. You will also gather product feedback and represent Anthropic at partner events.

Anthropic London, United Kingdom
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Senior HPC AI Cluster Engineer

This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, with a focus on GPU-accelerated computing and deep learning platforms. The engineer will automate infrastructure deployment, manage orchestration tools like Slurm and Kubernetes, and support R&D through proof-of-concept projects. Work includes full-stack troubleshooting, performance tuning, and developing self-service solutions for scientific and technical users.

NVIDIA
Remote Permanent
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Senior HPC AI Cluster Engineer

Design and maintain large-scale HPC/AI clusters with a focus on automation, monitoring, and performance optimization across bare metal, OS, and application layers. Develop CI/CD pipelines and self-service tooling for infrastructure management, supporting cutting-edge research and development in AI and accelerated computing. Collaborate with specialists in GPU compute, networking, and storage to deploy and troubleshoot high-performance systems at scale.

NVIDIA
Remote Permanent
NVIDIA logo

Senior HPC AI Cluster Engineer

Design and maintain large-scale HPC/AI clusters with a focus on GPU-accelerated computing and deep learning platforms. Develop automation tooling for deployment, monitoring, and self-service infrastructure, while collaborating with researchers and engineers to optimise performance at scale. Work across bare metal, OS, networking, and application layers to troubleshoot and improve system reliability and efficiency.

NVIDIA Germany
Remote Permanent
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Senior HPC AI Cluster Engineer

This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, and support R&D activities.

NVIDIA
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C++ Software Engineer – AI Developer Tools

You will develop production-quality C++ components and APIs for NVIDIA’s AI-powered developer tools, focusing on agentic workflows, retrieval systems, and performance optimization. You will collaborate with cross-functional teams to enhance developer productivity and system reliability.

NVIDIA United Kingdom
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C++ Software Engineer – AI Developer Tools

You will develop production-quality C++ components and APIs for NVIDIA’s AI-powered developer tools, focusing on Genie’s retrieval and agentic features. Your role involves building capabilities that connect native C++ tools with AI services, improving retrieval quality, and collaborating with cross-functional teams.

NVIDIA
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Senior Cloud Infrastructure and DevOps Solutions Architect

This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will work closely with customers, partners, and cross-functional teams to architect, implement, and optimize Kubernetes-based platforms and HPC systems, providing hands-on technical leadership and consultative guidance.

NVIDIA France
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Senior Cloud Infrastructure and DevOps Solutions Architect

This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will work closely with customers, partners, and cross-functional teams to architect, implement, and optimize Kubernetes-based platforms and HPC systems.

NVIDIA
NVIDIA logo

Senior Cloud Infrastructure and DevOps Solutions Architect

This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will work closely with customers, partners, and cross-functional teams to architect and implement Kubernetes-based platforms, automate processes, and provide consultative guidance across the entire stack.

NVIDIA