NVIDIA

4 weeks ago

Senior 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: 3 hours agoStatus: Live

Job Summary

Senior Software Engineer for KAI, NVIDIA’s Kubernetes AI Scheduler project. You will design and implement scalable backend software in Go, tackle AI workload scheduling in large Kubernetes deployments, review code, mentor teammates, and collaborate with upstream projects to advance the Kubernetes AI scheduling ecosystem across thousands of nodes.

Location: Israel, Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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.
•Collaborate with contributors, users, and customers, translating feedback from production deployments into product and engineering improvements.

Key Requirements

•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.
•B.Sc. or M.Sc. in Computer Science or a related field or equivalent experience.
•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.

Experience:8+ yearsAIKubernetesOpen-sourceCloud computing

Skills:GoKubernetesCRDsControllersDistributed systemsSchedulingAlgorithms

Tech Stack:GoKubernetesCRDsControllersKubernetes internalsDistributed systemsScheduling

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

Senior 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: 3 hours agoStatus: Live

Job Summary

Location: Israel, Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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.
•Collaborate with contributors, users, and customers, translating feedback from production deployments into product and engineering improvements.

Key Requirements

•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.
•B.Sc. or M.Sc. in Computer Science or a related field or equivalent experience.
•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.

Experience:8+ yearsAIKubernetesOpen-sourceCloud computing

Skills:GoKubernetesCRDsControllersDistributed systemsSchedulingAlgorithms

Tech Stack:GoKubernetesCRDsControllersKubernetes internalsDistributed systemsScheduling

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