Senior Solution Architect, MLOps – AI Factory

🔥 41 minutes ago

🌐 Germany, Czechia, +2 more countries – Remote

🇩🇪 Germany – Remote 🇨🇿 Czechia – Remote 🇫🇷 France – Remote 🇭🇺 Hungary – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Architect and scale high-performance, distributed AI infrastructure on-premises or in the cloud using NVIDIA GPU supercomputers • Integrate NVIDIA technology into HPC architectures supporting scientific and engineering applications • Champion Deep Learning and Infrastructure internally within 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 • Introduce advanced NVIDIA GPU products to data-center deployments • Conduct technical customer interactions and support customer infrastructure solutions

🎯 Requirements

• 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 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 • Ability to work 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 complex projects • Technical knowledge of developer digital platforms and their trends • Experience working with NVIDIA operators • Expertise in operating Kubernetes and writing or customizing Kubernetes configurations • Background in deploying large-scale multi-node training and inferencing pipelines • Good presentation skills

🏖️ Benefits

• NVIDIA is widely considered to be one of the technology world’s most desirable employers • Opportunity to contribute to innovative AI and deep learning solutions • Work with advanced NVIDIA GPU products and technology