Latest Research Jobs

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Solution Architect, Local Government AI

This role involves working closely with government clients and partners to design and deploy AI-driven solutions using NVIDIA's hardware and software technologies. The Solution Architect will develop technical collateral, lead proof-of-concept initiatives, and guide field teams in implementing AI workflows across public sector challenges. A strong focus is placed on computer vision, generative AI, and MLOps, with an emphasis on translating mission goals into scalable technical strategies.

NVIDIA Spain
Remote Permanent Clearance Required
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Solution Architect, Local Government AI

The role involves working closely with government clients and partners to design and deploy AI-driven solutions that address public sector challenges. You will develop technical strategies, create educational content, and support proofs of concept using NVIDIA's AI platforms. The position emphasizes hands-on technical leadership in computer vision, generative AI, and deep learning, with a focus on real-world deployment and cross-cultural collaboration.

Remote Permanent Clearance Required
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Solution Architect, Local Government AI

This role involves working closely with government clients and partners to design and deploy AI solutions using NVIDIA's hardware and software technologies. The Solution Architect will develop technical strategies, create educational resources, support proofs of concept, and guide field deployments in areas like computer vision, generative AI, and digital twins. Emphasis is placed on translating public-sector challenges into scalable, AI-driven outcomes while advocating for product improvements based on real-world feedback.

Remote Permanent Clearance Required
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Solution Architect, Local Government AI

This role involves working closely with government clients and internal teams to design and deploy AI-driven solutions that address public sector challenges. The Solution Architect will develop technical strategies, create educational resources, lead proof-of-concept initiatives, and support the implementation of AI workflows using NVIDIA's technologies. A strong focus is placed on computer vision, generative AI, and deep learning deployment in real-world government environments.

Remote Permanent Clearance Required
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Solution Architect, Public Sector

This role involves working closely with government clients and partners to design and deliver AI-driven solutions that address public sector challenges. The Solution Architect will develop technical strategies, lead proof-of-concept initiatives, and translate mission goals into scalable AI implementations using NVIDIA’s hardware and software platforms. A strong focus is placed on hands-on technical guidance, creating educational resources, and advocating for customer needs in product development.

NVIDIA United Kingdom
Remote Permanent Flexible Clearance Required
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Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on next-generation NVIDIA GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance AI performance and scale across datacenters. Work at the forefront of compiler innovation for deep learning and AI architectures.

NVIDIA Cambridge, United Kingdom
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Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, optimizing neural network workloads for future hardware. Collaborate with hardware teams to co-design features and prototype novel compilation techniques. Focus on end-to-end inference optimization using LLVM/MLIR, deep learning frameworks, and performance analysis tools.

NVIDIA Cambridge, United Kingdom
Hybrid Permanent
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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 for NVIDIA's GPUs. You'll solve complex compilation challenges, collaborate on hardware-software co-design, and help scale AI workloads across datacenters. The position emphasizes innovation in MLIR-based frameworks and optimizing performance on cutting-edge GPU architectures.

NVIDIA United Kingdom
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Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, optimizing neural network workloads on future spatial processors. Collaborate with hardware teams to co-design features and implement end-to-end optimizations across compiler, runtime, and deployment layers. Focus on graph transformations, scheduling, and memory layout for domain-specific AI hardware.

Hybrid Permanent
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Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA Germany
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Relational Foundation Model Engineer, Modern Data Stack

You will design and experiment with novel Transformer and Graph Neural Network (GNN) architectures that generalize across diverse relational database schemas and heterogeneous graphs. The role involves full-cycle development—from model design and large-scale training to optimization and inference acceleration—focused on real-world applications like fraud detection, forecasting, and recommendation systems. This is a research-forward engineering role with direct impact on enterprise AI systems built atop a unified foundation model.

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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 architecture design to inference acceleration—tackling real-world applications like fraud detection, forecasting, and entity matching. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

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Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in forecasting, fraud detection, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA logo

Relational Foundation Model Engineer, Modern Data Stack

This role involves designing and experimenting with novel Transformer and Graph Neural Network (GNN) architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. The engineer will work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in fraud detection, forecasting, and recommendation systems. Collaboration with researchers and engineers is central, with a focus on pushing beyond traditional single-table AI models.

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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 system-level integration across GPUs, DPUs, and interconnects. Develop next-generation capabilities in libraries like NCCL, UCX, and UCC, and collaborate with AI framework and hardware teams to optimize end-to-end performance at scale. Drive innovation in AI-specific protocol layers and co-designed solutions for large-scale AI workloads.

NVIDIA Switzerland PLN 221,250 – PLN 507,000 pa
On-site Permanent