Senior Software Engineer - Kubernetes AI Infrastructure

Responsibilities

• Develop clean, maintainable, and well-tested software in Go.
• Design and implement scalability improvements for KAI, helping it operates efficiently in massive-scale deployments (thousands of nodes) while addressing Kubernetes scaling constraints and bottlenecks.
• Apply strong algorithmic thinking to solve complex AI workload scheduling and placement challenges, balancing performance, fairness, cluster utilization, topology constraints, and scalability.
• Conduct code and design reviews to uphold high-quality standards and mentor team members.
• Work closely with contributors, users, and customers, helping translate feedback from production deployments into product and engineering improvements.
• Collaborate with related upstream projects (schedulers, AI frameworks, cluster autoscalers, Kubernetes SIGs/WGs, etc.) and contribute to community and ecosystem discussions.
• What we need to see
• B.Sc. or M.Sc. in Computer Science or a related field or equivalent experience
• 8+ years of experience in backend software development, including system design and architecture
• 4+ years of advanced Kubernetes development experience, including designing and implementing CRDs and controllers, with deep expertise in Kubernetes internals, networking, storage, and cluster architecture.

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