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Senior Software Engineer - Kubernetes AI Infrastructure

NVIDIA· Engineer, Sys SW
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Tel Aviv, Israelfull-timePosted 4mo ago

About the role

Senior Software Engineer for KAI, an open-source CNCF project focused on AI workload scheduling on Kubernetes. Build scalable AI scheduling infrastructure, collaborate with upstream projects, and mentor teammates.

Responsibilities

  • Develop clean, maintainable, and well-tested software in Go.
  • Design and implement scalability improvements for KAI 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, translating 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.

Qualifications

  • 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
  • Strong algorithmic skills with experience tackling complex optimization and distributed systems challenges
  • Strong technical skills and a proven ability to collaborate with and mentor other engineers.

Skills

Required:GoAlgorithm design and optimizationKubernetes development (CRDs and controllers)
Last updated Oct 9, 2026. Interested? Apply on the company site.

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