Senior Solution Architect, MLOps - AI Factory
NVIDIA· Architect, Solutions
Hybrid (Remote - Germany), Hybrid (Remote - Hungary), Hybrid (Remote - Czechia)full-timePosted 2w ago
About the role
Senior AI Factory Solution Architect at NVIDIA focused on architecting and deploying high-performance distributed AI infrastructure using NVIDIA GPUs, with customer-facing responsibilities and leadership in Deep Learning and Infrastructure within NVIDIA's technical community.
Responsibilities
- Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers.
- Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
- Be an internal champion for Deep Learning and Infrastructure among the NVIDIA technical community.
- Support Development activities and engage in POCs/POVs to validate new features, and architectures.
- Develop solutions and showcase the AI ecosystem.
Qualifications
- B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
- 5+ years in software development or ML engineering.
- Extensive ability to solve problems within the customer infrastructure.
- Practical expertise with on-premises Kubernetes (K8S) infrastructure-orchestration and platform.
- Experience working with containers and MLOps tools.
- Background with modern Deep Learning software architecture and frameworks including PyTorch, vLLM and TritonServer.
- Capable of working in a constantly evolving environment without losing focus.
- Committed with strong analytical and problem solving skills.
- Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
Skills
Required:Distributed AI infrastructure designKubernetes (on-premises)Containers and MLOps toolingDeep Learning frameworks (PyTorch, vLLM, TritonServer)Customer-facing leadership
Last updated Oct 23, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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