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Senior+$4.1B raised
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Principal Software Engineer - Kubernetes AI Scheduler
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Full-time
bachelor degree, postgraduate degree
Posted 2d ago
~40 hrs/week
Responsibilities
Drive the technical roadmap, architecture, and scalability strategy for the KAI-Scheduler open-source project to optimize AI workloads on Kubernetes. Lead community engagement and collaborate with upstream cloud-native projects to shape the future of AI scheduling.
Requirements
Requires a degree in Computer Science and over 15 years of backend experience, including 6+ years of advanced Kubernetes development. Must possess strong algorithmic skills and a proven track record of maintaining open-source projects and mentoring engineers.
Full job description
KAI-Scheduler is an open-source CNCF project focused on delivering the best scheduling experience for AI workloads on Kubernetes. Adopted by AI frontier labs, leading enterprises, and some of the largest AI infrastructure deployments in the world, KAI helps organizations efficiently run AI at scale.
KAI is designed to support any AI infrastructure—from the latest GPU and networking technologies to future hardware generations—while maximizing performance, utilization, and scalability. As a Principal Engineer for KAI, you will drive the technical direction of the project and shape the future of AI scheduling in the Kubernetes ecosystem.
What you’ll be doing:
Define the technical roadmap of KAI-Scheduler, driving its architecture, APIs, extensibility, performance, and long-term direction, ensuring alignment with the evolving Kubernetes ecosystem.
Drive the scalability strategy of KAI for massive-scale deployments (thousands of nodes and tens of thousands of GPUs), with deep understanding of 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.
Engage directly with contributors, users, and customers, incorporating feedback from real-world production deployments into the project's technical direction and serving as a visible technical leader within the open-source community.
Proactively collaborate with related upstream projects (schedulers, AI frameworks, cluster autoscalers, Kubernetes SIGs/WGs, etc.) and represent KAI in community and ecosystem discussions.
What we need to see:
B.Sc. or M.Sc. in Computer Science or a related field or equivalent experience
15+ years of experience in backend software development, including system design and architecture
6+ 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 background with experience solving complex optimization and distributed systems problems.
Superb technical level and a proven ability to mentor other engineers through code reviews, design reviews, and technical leadership.
Experience in maintaining open-source projects in the Kubernetes or broader cloud-native ecosystem, with a strong understanding of healthy open-source project dynamics, contributor engagement, and community collaboration.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
How many Science & Research jobs are open in Tel Aviv, Israel right now?
There are currently 57 open science & research positions in Tel Aviv, Israel listed on Clera. New openings are added daily as companies post roles.
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