Latest Research Jobs

Solution Architect, Local Government AI

This role involves working closely with government clients and partners to design and deploy AI-driven solutions that address public sector challenges in areas like safety, health, and urban services. The Solution Architect will develop technical strategies, create educational resources, and support proofs of concept using NVIDIA's AI platforms. A strong focus is placed on translating mission goals into scalable AI implementations, particularly in computer vision, generative AI, and large language models, while collaborating across global teams and ecosystems.

NVIDIA

Remote Permanent Clearance Required

Solution Architect, Local Government AI

This role involves working closely with government clients and partners to design and deploy AI-driven solutions that address public sector challenges in areas like safety, health, and urban services. The architect will develop technical strategies, create hands-on demonstrations using NVIDIA's AI platforms, and support proof-of-concept projects involving computer vision, generative AI, and large language models. Collaboration spans field teams, product teams, and international stakeholders, with a focus on translating mission goals into scalable technical implementations.

NVIDIA

Remote Permanent Clearance Required

Associate Director, Platform Engineering

Lead the platform engineering function for a TechBio company pioneering drug discovery through single-cell multi-omics and machine learning. Define and evolve the hybrid on-premises and cloud infrastructure strategy, with a focus on Kubernetes, MLOps, scientific compute environments, and platform security. Develop the team and platform to support data-intensive genomic pipelines, model training, and CI/CD maturity while ensuring robust observability, disaster recovery, and compliance with clinical-stage data governance standards.

Relation Therapeutics London, United Kingdom

Permanent

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on NVIDIA's next-generation GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance compiler frameworks and enable high-performance AI deployment at scale. Work spans MLIR-based tooling, deep learning performance, and datacenter-scale optimization.

NVIDIA Cambridge, United Kingdom

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to build a unified AI model for enterprise data.

NVIDIA Germany

On-site Permanent

Compiler Engineer - AI Inference

This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations tailored to NVIDIA's GPUs. You'll work at the intersection of hardware and software, collaborating with experts to co-design future silicon and optimize datacenter-scale AI deployments. The position demands deep expertise in compiler design, MLIR, and performance optimization in high-performance computing environments.

NVIDIA United Kingdom

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from research to production deployment—on applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that interprets relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on high-impact applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance graph learning and relational reasoning in enterprise AI.

NVIDIA

Solutions Architect, CSP GTM

Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and GCP technologies for generative AI and machine learning workloads. Collaborate with developers, data scientists, and technical leaders to optimize training and inference pipelines on hyperscaler infrastructure. Act as a technical bridge between NVIDIA, Google Cloud, and enterprise customers to drive adoption of accelerated computing in AI.

NVIDIA Reading, United Kingdom

Senior HPC and AI Network Software Architect

Design and evolve scalable software architectures for distributed AI training and inference, focusing on communication efficiency, runtime systems, and hardware-software co-design across GPUs, DPUs, and interconnects. Develop and optimize libraries like NCCL, UCX, and UCC for frontier AI workloads, collaborating with AI framework and platform teams to deliver high-performance, resilient systems at scale.

NVIDIA Switzerland £221,250 – £507,000 pa

On-site Permanent

Senior HPC and AI Network Software Architect

Design and evolve scalable software architectures for distributed AI training and inference, focusing on communication efficiency, runtime performance, and system-level integration across GPUs, DPUs, and interconnects. Develop and optimize libraries like NCCL, UCX, and UCC for frontier AI workloads, collaborating with AI framework teams and hardware engineers. Drive innovation in low-latency, high-throughput systems for large-scale AI and HPC infrastructure.

NVIDIA PLN 221,250 – PLN 507,000 pa

Remote Permanent

Senior HPC and AI Network Software Architect

Design and evolve scalable software systems for distributed AI training and inference, focusing on communication efficiency, runtime performance, and hardware-software co-design across GPUs, DPUs, and interconnects. Develop and optimize libraries like NCCL, UCX, and UCC for frontier AI workloads, and collaborate with AI framework and platform teams to improve end-to-end system performance at scale.

NVIDIA PLN 221,250 – PLN 507,000 pa

Remote Permanent

Senior HPC and AI Network Software Architect

Design and evolve scalable software systems for distributed AI training and inference, focusing on communication efficiency, runtime performance, and hardware-software co-design across GPUs, DPUs, and interconnects. Develop next-generation capabilities in libraries like NCCL, UCX, and UCC, and collaborate with AI framework and platform teams to optimize end-to-end performance at scale. Drive innovation in AI-specific protocol layers and system-level features for the world’s fastest AI workloads.

NVIDIA PLN 221,250 – PLN 507,000 pa

Remote Permanent