Senior Solutions Architect, DevOps

🕒 June 5

🌐 Poland, Germany, +1 more countries – Remote

🇵🇱 Poland – Remote 🇩🇪 Germany – Remote 🇫🇷 France – Remote

💵 zł221.3k - zł507k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 43%

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

• Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration • Provide consultative guidance and hands-on troubleshooting across the full stack, from bare metal and operating systems through software, containers, networking, and storage • Assess customer environments and recommend production-ready Kubernetes container platforms integrated with enterprise networking and storage • Develop, refine, and document standard methodologies and operational guidelines for internal teams and customers • Support Development activities and engage in POCs/POVs to validate features, architectures, and upgrade approaches • Create documentation including runbooks, onboarding materials, and best-practice guides • Act as technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing infrastructure and operations decisions

🎯 Requirements

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields • 5+ years of professional experience in managing scalable cloud environments and automation engineering roles • Proven understanding of networking fundamentals and data center architectures • Hands-on experience managing HPC/AI clusters, including deployment, optimization, and troubleshooting • Hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure • Experience with driver management, CUDA toolkit integration, and GPU workload profiling • Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with GPU-accelerated and HPC environments • Strong familiarity with HPC and AI technologies, including CPUs, GPUs, high-speed interconnects, and supporting software stacks • Deep knowledge of Linux, including RedHat and Ubuntu, OS-level security, and protocols • Proficiency in Python and Bash scripting, configuration management, and Infrastructure-as-Code tools such as Ansible and Terraform • Experience with observability stacks such as Grafana, Loki, and Prometheus • Strong background in crafting scalable solutions and providing consultative customer support • Experience leading architectural reviews and presenting to executive stakeholders • Knowledge of CI/CD pipelines • Hands-on knowledge of Kubernetes operators for GPU and network management • Practical experience with SLURM, MPI, enroot, and job provisioning • Experience with software change management of clusters across compute, network, and storage • Experience with NVIDIA Base Command Manager (BCM) • Background with RDMA-based fabrics, including InfiniBand or RoCE, in HPC or AI environments