Latest computer vision Jobs

Senior Solutions Architect – Large Scale AI Inference

This role involves guiding EMEA-based AI companies in deploying and optimizing large-scale AI inference workloads on multi-node GPU clusters. The Senior Solutions Architect will design efficient inference pipelines for dense and sparse Mixture-of-Experts (MoE) models, improve performance through quantization and speculative decoding, and collaborate with NVIDIA’s product teams. The position also includes leading technical workshops and shaping next-generation inference architectures at the intersection of AI and high-performance computing.

NVIDIA PLN 292,500 – PLN 507,000 pa

Senior Solutions Architect – Large Scale AI Inference

This role involves architecting and optimizing large-scale AI inference solutions on multi-node GPU clusters, focusing on performance, efficiency, and reliability for leading AI organizations. You will guide customers in deploying dense and sparse Mixture-of-Experts models, optimize inference pipelines using advanced techniques like speculative decoding and quantization, and collaborate with NVIDIA product teams to drive innovation. The position also includes leading technical engagement through workshops and developing reference architectures for the EMEA region.

NVIDIA PLN 292,500 – PLN 507,000 pa

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on reliability, performance optimization, and debugging across hardware, networking, and training dynamics. The engineer will run experiments to improve training efficiency, respond to incidents during model launches, and collaborate closely with research and systems teams. It’s a high-impact, operational role blending deep technical engineering with empirical research in a fast-paced, safety-focused AI environment.

Anthropic London, United Kingdom £260,000 – £630,000 pa

Research Engineer, RL Scaling Science

This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues that emerge at scale, and translate validated research findings directly into production training pipelines. The position sits at the intersection of research and systems engineering, requiring deep empirical rigor and close collaboration with both research and infrastructure teams.

Anthropic London, United Kingdom £375,000 – £640,000 pa

Solutions Architect, CSP GTM

Design and implement GPU-accelerated solutions for hyperscaler environments, with a primary focus on Google Cloud Platform. Develop proof-of-concepts and optimize GenAI, machine learning, and data science workloads across training and inference pipelines. Collaborate with engineering, product, and sales teams to integrate NVIDIA technology into enterprise computing architectures and support developer adoption through technical engagement and performance optimization.

NVIDIA Reading, United Kingdom

Senior Developer Relations Manager, EMEA AI Natives UK&I

The Senior Developer Relations Manager will engage with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms. Key responsibilities include serving as a technical advisor, accelerating workloads, and guiding partners through onboarding and integration.

NVIDIA United Kingdom

Senior MLOps Engineer - DSX Enablement

This role involves building and deploying custom AI solutions on NVIDIA's NeoCloud and partner cloud platforms, with a focus on MLOps pipelines, distributed training, and inference optimization. The engineer will act as a technical advisor to both internal and external customers, diagnosing full-stack AI/ML system issues and contributing to open-source tools and reference architectures. A strong emphasis is placed on performance tuning, scalability, and deep collaboration with infrastructure and framework teams to advance AI capabilities.

NVIDIA

Senior Developer Relations Manager – Agentic Healthcare AI

This role involves serving as a technical advisor and champion for the developer ecosystem in Healthcare and Lifesciences, accelerating workloads by integrating NVIDIA’s AI and computing platforms, and fostering co-innovation with partners. Responsibilities include technical enablement, ecosystem mapping, and cross-functional collaboration to drive adoption and solve real-world challenges.

NVIDIA Switzerland

Solutions Architect, CSP GTM

Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and Google Cloud Platform (GCP) technologies, focusing on Generative AI and large-scale machine learning workloads. Engage with developers, data scientists, and technical leaders to optimize training and inference pipelines. Collaborate across engineering, product, and sales teams to integrate NVIDIA platforms into enterprise computing environments.

NVIDIA France

Senior Developer Relations Manager, ISV

This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors (ISVs) and developer communities. The Senior Developer Relations Manager will act as a technical advocate, supporting partners with integration, co-innovation, and solution development while gathering field insights to influence internal product roadmaps. The position emphasizes deep technical engagement, strategic partnerships, and cross-functional collaboration across engineering, product, and marketing teams.

NVIDIA Reading, United Kingdom

Senior Solutions Architect – Large Scale Neural Networks Inference

Lead technical strategy for AI inference deployments across EMEA, working closely with AI-native enterprises and frontier labs to optimize large-scale neural network inference on NVIDIA's platform. Architect high-performance inference pipelines using frameworks like TensorRT-LLM, vLLM, and SGLang, and translate real-world deployment challenges into product improvements. Focus on solving critical issues around latency, efficiency, memory utilization, and GPU cluster performance.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior Solutions Architect – Large Scale Neural Networks Inference

This role involves leading AI inference strategy for major EMEA clients, focusing on optimizing large-scale neural network deployments. You'll architect high-performance inference pipelines using NVIDIA's latest technologies, solve critical challenges in latency, efficiency, and scalability, and translate real-world deployment insights into product improvements. The position bridges technical leadership, customer engagement, and product development within NVIDIA's AI ecosystem.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior Solutions Architect – Large Scale Neural Networks Inference

Lead the technical strategy for large-scale AI inference deployments with EMEA-based AI-native customers, from proof of concept through to production. Architect and optimize high-performance inference pipelines using NVIDIA's stack, including TensorRT-LLM and Dynamo, while translating real-world deployment challenges into product feedback. Collaborate across NVIDIA teams and customer organizations to drive scalable, efficient AI inference solutions addressing latency, cost, and GPU utilization.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior Solutions Architect – Large Scale AI Inference

This role involves architecting and optimizing large-scale AI inference solutions on multi-node GPU clusters, focusing on advanced techniques like Mixture-of-Experts (MoE) serving, quantization, speculative decoding, and interconnect-aware scheduling. The Senior Solutions Architect will work closely with leading AI companies and NVIDIA's product teams to drive performance, efficiency, and adoption of NVIDIA's inference stack. Responsibilities include technical leadership, customer engagement, and community building through workshops and reference architectures.

NVIDIA PLN 292,500 – PLN 507,000 pa

Remote Permanent

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 with the latest GPU and deep learning technologies, collaborate with HPC and systems specialists, and support R&D activities.

NVIDIA