NVIDIA Hungary Kft.
Senior Solution Architect, MLOps - AI Factory
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.
- Compensation
- Not disclosed
- Location
- Budapest
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- 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 and complex projects
Nice to have
- Technical knowledge of developer digital platforms and their trends
- Experience working with NVIDIA operators
- Expertise in operating Kubernetes, including writing or customizing Kubernetes configurations
- Background in deploying large-scale multi-node training and inferencing pipelines
- Good presentation skills
Full description
- 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
- Good presentation skills