Senior Software System Architect, AI Factory Management

🔥 4 minutes ago

🇳🇱 Netherlands – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

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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

• Define architectures for management and intelligent automation capabilities spanning telemetry, observability, remediation, and operational automation • Engage customers, cluster operations teams, and compute authorities to understand challenges and architect solutions that improve operational efficiency, reliability, and scalability • Partner with Product and Engineering to translate architectural recommendations into prioritized features and drive their inclusion in the Plan of Record (POR), defining requirements, dependencies, and success criteria • Resolve system tradeoffs across hardware, firmware, software, and data platforms, with attention to scale, reliability, performance, and usability • Guide design decisions through implementation, including hands-on development of targeted proofs of concept (PoCs) and technical investigations • Offer strategic direction and system-level leadership throughout teams, guiding engineering choices and promoting AI-centered operating practices

🎯 Requirements

• MSc. or higher in Computer Engineering or Computer Science (or equivalent experience) • 8+ years in system or software architecture, with a record of delivering sophisticated distributed systems in production • Hands-on experience architecting and delivering distributed software systems, including cloud-native services, deployment, and orchestration • Deep understanding of data center infrastructure across compute, networking, and management systems, including how these components interact at scale • Ability to connect the big picture with precise technical reasoning—and recognize which details matter • Experience translating customer needs into system capabilities and influencing decisions across technical and product teams • Strong ownership, initiative, and follow-through, supported by clear technical writing and communication • Experience with AI factory infrastructure, large-scale GPU clusters, HPC, or distributed AI training and inference workloads • Hardware/software co-design experience spanning compute, networking, firmware, and software • Deep understanding of telemetry and observability platforms, including applying AI/ML • Hands-on development of LLM agents, including orchestration, tool integration, context management, and evaluation • Contributions to open-source communities, particularly in AI infrastructure or observability

🏖️ Benefits

• Competitive salaries • Generous benefits package • Opportunity to work with forward-thinking engineers in the industry

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