NVIDIA seeks a Senior Software and System Architect to lead cloud-networking architecture, design cutting-edge system architecture for DPUs & NICs, and coordinate with global teams.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

This role involves advising on AI solutions, supporting developers, analyzing architectures for acceleration, and delivering training on NVIDIA platforms.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

As a Solution Architect, you'll advise on AI solutions, support developers and customers, analyze architectures, and lead trainings on NVIDIA software.

Manage GSI relationships in EMEA, define strategies for AI services, enhance developer skills, and coordinate between teams for business goals.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.

As a Senior Software Architect, improve communication for AI and HPC workloads, design new technologies, and evaluate innovations.

Lead developer-facing work on advanced real-time rendering and neural graphics: optimize GPU/CPU performance, develop and tune neural rendering and AI models, collaborate with AAA studios and NVIDIA architecture/driver teams, build demos, publish and present research.

Build and operate real-time distributed runtimes and hardware abstractions for ultra-low-latency, planet-scale inference across heterogeneous accelerators. Focus on fault tolerance, diagnostics, hardware-software interfaces, profiling and optimization, and shipping production-grade, tested code integrated with cross-functional teams.

Lead the AI Edge and Embedded business strategy in EMEA, driving growth, expanding partnerships, and mentoring a high-performing team to achieve ambitious goals.

Work with developers and researchers to build, fine-tune, benchmark, and optimize AI models and agentic workflows for chemistry and materials discovery using NVIDIA GPU technologies; collaborate with partners, present at workshops, and drive adoption of NVIDIA ALCHEMI.

As a Senior HPC DevOps Engineer, you will design and maintain large-scale HPC/AI clusters, streamline CI/CD pipelines, troubleshoot complex issues, and lead technical innovations.

The Solution Architect will guide government clients in implementing AI solutions, support product development, mentor teams, and facilitate impactful strategies.

As a Senior HPC Performance Engineer at NVIDIA, you will analyze performance on multi-GPU clusters, evaluate library interactions with hardware, and debug performance issues. You will conduct benchmarking and collaborate across teams to enhance communication libraries.

Define and architect Software Defined Networking solutions for AI networks. Collaborate with teams at NVIDIA on innovative technologies and systems.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.