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Senior Site Reliability Engineer

NVIDIA· Site Reliability Engineering
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Israel, Yokneam, Israel, Raananafull-timePosted 1mo ago

About the role

Lead initiatives to improve efficiency, performance, reliability, and evolution of infrastructure services across on-premises and cloud environments within NVIDIA's Core Infrastructure team.

Responsibilities

  • Lead initiatives that transform the IT Compute Core architecture and build new infrastructure service offerings across on-premises and cloud environments.
  • Design, scale, and deploy core infrastructure services including DNS, NTP/PTP, DHCP, and LDAP, with responsibility for performance, reliability, automation, monitoring, high availability, capacity planning, and lifecycle management at global scale.
  • Define and implement service-efficiency metrics, and drive improvements through software and hardware optimization, including SR-IOV and DPU capabilities where appropriate.
  • Apply technologies such as eBPF and XDP to improve observability, performance analysis, and DDoS-mitigation capabilities.
  • Collect and analyze system and capacity data; develop enterprise-wide capacity plans and coordinate with management to implement appropriate changes.
  • Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, and monitoring.
  • Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, Mathematics, or a related field, or equivalent experience.
  • 12+ years of demonstrable experience in compute platform engineering, with a strong focus on automation and technical leadership in large-scale environments.
  • Experience designing and deploying containerization architectures and distributed-systems infrastructure.
  • Demonstrable experience evaluating existing application architectures and seeing opportunities for containerization that improve scalability, reliability, and efficiency.
  • Strong analytical skills, including the ability to define and track key performance metrics.
  • Experience developing tools for data analysis and performance profiling, including Terraform and configuration-management tools.
  • Proficiency in Go, Python, or similar programming languages.
  • Linux OS proficiency, including kernel internals.
  • Experience operating large-scale environments with bare-metal build infrastructure.
  • Understanding of network protocols and architectures, including VLAN, VXLAN, SDN, BGP, and Anycast.

Skills

Required:Automation and technical leadershipContainerization architecturesPerformance and capacity analyticsGo/PythonLinux kernel internalsNetworking (VLAN, VXLAN, SDN, BGP, Anycast)
Last updated Aug 28, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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