NVIDIA

4 weeks ago

Principal Software Engineer - Kubernetes AI Scheduler

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the technical direction of NVIDIA’s KAI-Scheduler, driving architecture, APIs, and scalability for AI workloads on Kubernetes. Own the roadmap, mentor engineers, and engage with open-source contributors and ecosystem partners to optimize performance, fairness, and utilization at massive scale across thousands of nodes and GPUs.

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key Responsibilities

•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.

Key Requirements

•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
•Proven mentorship ability through code reviews, design reviews, and technical leadership

Experience:15+ yearsKubernetesCloud-nativeOpen sourceAI workflowsKAI-Scheduler

Education:Bachelor's

Skills:KubernetesCRDControllersSchedulingDistributed systemsAlgorithms

Tech Stack:KubernetesCRDControllersGPUAI

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

Principal Software Engineer - Kubernetes AI Scheduler

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key Responsibilities

•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.

Key Requirements

•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
•Proven mentorship ability through code reviews, design reviews, and technical leadership

Experience:15+ yearsKubernetesCloud-nativeOpen sourceAI workflowsKAI-Scheduler

Education:Bachelor's

Skills:KubernetesCRDControllersSchedulingDistributed systemsAlgorithms

Tech Stack:KubernetesCRDControllersGPUAI

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor