
Senior Solution Architect, MLOps – AI Factory
Posted 16 hours ago

Posted 16 hours ago
This is a fully remote position, open to applicants in Germany, +3 more countries.
• Design and enhance high-performance, distributed AI infrastructure either on-premises or in the cloud utilizing NVIDIA GPU supercomputers.
• Seamlessly incorporate NVIDIA technology into HPC architectures that support scientific and engineering applications.
• Advocate for Deep Learning and Infrastructure within the NVIDIA technical community.
• Assist in development activities and participate in POCs/POVs to evaluate new features and architectures.
• Create solutions and demonstrate the AI ecosystem.
• Introduce cutting-edge NVIDIA GPU products to data center deployments.
• Engage in technical interactions with customers and provide support for their infrastructure solutions.
• B.Sc. or M.Sc. in Engineering, Mathematics, Physics, or Computer Science, or equivalent experience.
• Over 5 years of experience in software development or ML engineering.
• Strong problem-solving abilities within customer infrastructure.
• Hands-on experience with on-premises Kubernetes (K8S) orchestration and platform management.
• Familiarity with containers and MLOps tools.
• Knowledge of modern Deep Learning software architectures and frameworks, including PyTorch, vLLM, and TritonServer.
• Capacity to thrive in a rapidly changing environment while maintaining focus.
• Excellent analytical and problem-solving capabilities.
• Strong organizational and time-management skills for coordinating multiple initiatives, priorities, and the integration of new technologies and products into complex projects.
• Technical understanding of developer digital platforms and current trends.
• Experience with NVIDIA operators.
• Proficiency in operating Kubernetes and customizing or writing Kubernetes configurations.
• Experience in deploying large-scale multi-node training and inference pipelines.
• Effective presentation skills.
• NVIDIA is recognized as one of the most sought-after employers in the technology sector.
• Opportunity to play a role in pioneering AI and deep learning innovations.
• Work with cutting-edge NVIDIA GPU products and technologies.
Mission Technologies, a division of HII
GBC Group GmbH
Skydio
Presidio
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