Senior Software Engineer – Kubernetes AI Foundations, Open Source

NVIDIA
Tel Aviv
Full timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Adaptability","Curiosity","Learning mindset"]

Build and upstream new capabilities for Kubernetes and CNCF projects that power next-generation AI workloads. You’ll collaborate across NVIDIA teams to identify AI infrastructure challenges and turn them into reliable, scalable platform software. Work with Kubernetes SIGs and working groups through API design, architecture discussions, technical proposals, and code reviews, while contributing to upstream processes and clear technical documentation.

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FursaFursa
NVIDIA
NVIDIA
15 hours ago

Senior Software Engineer – Kubernetes AI Foundations, Open Source

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and upstream new capabilities for Kubernetes and CNCF projects that power next-generation AI workloads. You’ll collaborate across NVIDIA teams to identify AI infrastructure challenges and turn them into reliable, scalable platform software. Work with Kubernetes SIGs and working groups through API design, architecture discussions, technical proposals, and code reviews, while contributing to upstream processes and clear technical documentation.
Location: Tel Aviv
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and upstream new capabilities for Kubernetes and CNCF projects.
  • •Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation.
  • •Work with Kubernetes SIGs, working groups, and the open-source community to design and implement new capabilities.
  • •Participate in architecture discussions, API design, technical proposals, and code reviews.
  • •Build reliable, scalable infrastructure software for next-generation AI workloads and write technical documentation and design proposals.

Key Requirements

  • •B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
  • •5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software.
  • •Deep understanding of Kubernetes and the cloud-native ecosystem.
  • •Experience extending, building, or contributing to Kubernetes-based solutions.
  • •Strong communication skills and the ability to collaborate across engineering teams and open-source communities.
Experience:5+ yearsDistributed systemsCloud infrastructurePlatform softwareOpen sourceCloud-nativeAI infrastructure
Education:Bachelor's in Computer Science, Computer Engineering, or related field
Skills:CommunicationCollaborationAdaptabilityCuriosityLearning mindset
Tech Stack:KubernetesCloud-native ecosystemCNCFDistributed systemsAPI designKEPsGateway APIKubernetes schedulingNetworkingWorkload APIsLLM infrastructureGPU schedulingInference systemsDistributed serving

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
Glassdoor: 4.3
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