Senior Software System Architect, AI Factory Management

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Establish architectures for management and intelligent automation capabilities that encompass telemetry, observability, remediation, and operational automation.

• Collaborate with customers, cluster operations teams, and compute authorities to identify challenges and design solutions that enhance operational efficiency, reliability, and scalability.

• Work alongside Product and Engineering to convert architectural recommendations into prioritized features, ensuring their inclusion in the Plan of Record (POR), while defining requirements, dependencies, and success criteria.

• Address system tradeoffs across hardware, firmware, software, and data platforms, focusing on scale, reliability, performance, and usability.

• Lead design decisions through implementation, including hands-on development of specific proofs of concept (PoCs) and technical investigations.

• Provide strategic guidance and system-level leadership across teams, steering engineering decisions and advocating for AI-centered operational practices.

⛳️ Requirements

• MSc. or higher in Computer Engineering or Computer Science (or equivalent experience).

• Over 8 years of experience in system or software architecture, demonstrating a history of delivering complex distributed systems in production.

• Practical experience in architecting and implementing distributed software systems, including cloud-native services, deployment, and orchestration.

• Profound knowledge of data center infrastructure, covering compute, networking, and management systems, along with an understanding of how these elements interact at scale.

• Capability to connect overarching concepts with detailed technical reasoning, recognizing the significance of particular details.

• Experience in translating customer requirements into system functionalities and influencing decisions among technical and product teams.

• Strong sense of ownership, initiative, and follow-through, complemented by effective technical writing and communication skills.

• Background in AI factory infrastructure, large-scale GPU clusters, HPC, or distributed AI training and inference workloads.

• Experience in hardware/software co-design that encompasses compute, networking, firmware, and software.

• In-depth understanding of telemetry and observability platforms, including the application of AI/ML.

• Hands-on experience developing LLM agents, covering orchestration, tool integration, context management, and evaluation.

• Contributions to open-source communities, especially in AI infrastructure or observability.

🏝️ Benefits

• Competitive salaries.

• Generous benefits package.

• Opportunity to collaborate with innovative engineers in the industry.