NVIDIA is hiring a Senior Solution Architect in Budapest to design and scale distributed AI/MLOps infrastructure on-prem or in the cloud, integrating NVIDIA technology into HPC and customer environments via POCs/POVs. Core stack: Kubernetes, containers, MLOps tooling, PyTorch, vLLM, and TritonServer.
Architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud
Integrate NVIDIA technology into HPC architectures to support scientific and engineering applications
Champion 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
B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience
5+ years in software development or ML engineering
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
Capability of working in a constantly evolving environment without losing focus
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
Technical knowledge of developer digital platforms and their trends
Experience working with Nvidia operators
Expertise in operating Kubernetes, as well as experience writing or customizing Kubernetes configurations
Background in deploying large-scale multi-node training and inferencing pipelines