Latest Graphics Processing Units Jobs

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 to support the largest AI workloads. Collaborate with AI framework and platform teams to improve end-to-end system performance at global scale.

NVIDIA Switzerland PLN 221,250 – PLN 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 systems, and hardware-software co-design across GPUs, DPUs, and interconnects. Develop and optimize communication libraries like NCCL, UCX, and UCC, and collaborate with AI framework and platform teams to enhance end-to-end performance at scale. Drive innovation in AI infrastructure by integrating new protocols and system-level capabilities for large-scale models.

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 protocols and system-level features to power the world’s fastest AI workloads.

NVIDIA PLN 221,250 – PLN 507,000 pa

Remote Permanent

Senior HPC and AI Network Software Architect

This role involves designing and evolving scalable software systems for distributed AI training and inference, with a focus on communication efficiency, runtime performance, and hardware-software co-design. The architect will work on low-level communication libraries like NCCL, UCX, and UCC, integrate with AI frameworks such as PyTorch and TensorFlow, and collaborate across hardware and software teams to optimize large-scale AI workloads. Innovation in cluster-scale systems, interconnects, and distributed runtime capabilities is central to the position.

NVIDIA PLN 221,250 – PLN 507,000 pa

Remote Permanent

Senior GPU Networking Architect

Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance and integration with networking hardware. Collaborate with cross-functional teams to co-design communication strategies aligned with GPU execution patterns and emerging AI model architectures. Develop GPU-resident primitives and programming models that enable efficient, fine-grained data movement across accelerators and nodes.

NVIDIA Switzerland PLN 292,500 – PLN 650,000 pa

On-site Permanent

Senior GPU Networking Architect

Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance and integration with networking hardware. Collaborate across teams to co-develop GPU-aware communication strategies and programming models. Profile and tune end-to-end kernel performance across compute, memory, and network layers.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior GPU Networking Architect

Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance tuning and co-design with hardware and networking teams. Develop GPU-resident primitives and device-side APIs to enable efficient, fine-grained data movement across accelerators and nodes. Collaborate across disciplines to shape programming models and communication strategies aligned with emerging AI architectures.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

Senior GPU Networking Architect

Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance and integration with networking hardware. Work closely with hardware and AI framework teams to co-design communication strategies that align with GPU execution patterns. Develop GPU-resident primitives and device-side APIs to enable fine-grained, kernel-initiated data movement across accelerators.

NVIDIA PLN 292,500 – PLN 650,000 pa

Remote Permanent

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—tackling real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in AI.

NVIDIA Germany

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 to ship foundational AI models into production.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network architectures for a unified foundation model that generalizes across relational databases and heterogeneous graphs. Work spans the full ML lifecycle, from research to production deployment, with direct impact on enterprise AI applications such as fraud detection, forecasting, and recommendation systems. Collaborate closely with researchers to advance the state of relational reasoning in AI.

NVIDIA

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 real-world applications in forecasting, fraud detection, and recommendations. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with 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 training to optimization and inference—applying the foundation model to real-world use cases like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to advance enterprise AI beyond traditional single-table paradigms.

NVIDIA

Senior Embedded Architect Manager

Lead the design and implementation of secure embedded systems for next-generation NVIDIA Networking products, focusing on hardware and software security architecture. Work hands-on with low-level firmware, IO interfaces, and security primitives across cross-functional teams and external partners. Drive innovation in trusted platform development using RISC-V, root-of-trust, and secure boot architectures.

NVIDIA Cambridge, United Kingdom

On-site Permanent

Senior Embedded Architect Manager

Lead the design and implementation of secure embedded architectures for next-generation NVIDIA Networking products, integrating hardware and software security solutions. Collaborate across internal teams and external partners to define security standards and implement trusted platform technologies. Focus on low-level firmware, boot architecture, and hardware security primitives across interfaces like PCIe, USB, I2C, and I3C.

NVIDIA Bristol, United Kingdom

On-site Permanent