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NVIDIA

Designs the chips and software that power AI

Senior Staff Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Mathematics, or a related field, or equivalent experience.
  • At least 15 years of proven compute platform engineering experience focused on automation.
  • Experience designing and deploying containerization architectures and distributed systems infrastructure.
  • Experience evaluating application architectures and identifying containerization opportunities to improve scalability, reliability, and efficiency.
  • Strong analytical skills and the ability to define and track key performance metrics.
  • Experience developing tools for data analysis and performance profiling, and developing with Terraform and configuration management tools.
  • Proficiency in Go and/or Python.
  • Proficiency with Linux operating systems and kernel internals.
  • Experience running large environments consisting of bare-metal build infrastructure.
  • Understanding of network protocols and architectures, including VLAN, VXLAN, SDN, BGP, and Anycast.

Responsibilities

  • Lead initiatives to transform the IT Compute Core Team architecture and build new service offerings across on-premises and cloud environments.
  • Design, scale, and deploy core infrastructure services including DNS, NTP/PTP, DHCP, and LDAP, covering automation, monitoring, high availability, capacity planning, and lifecycle management for performance and reliability at global scale.
  • Define and implement service-efficiency metrics and drive efficiency through software and hardware optimizations, including SR-IOV and DPU.
  • Use eBPF and XDP technologies for observability and DDoS mitigation.
  • Collect and review system data for capacity planning, analyze capacity data, develop plans for enterprise-wide systems, and coordinate with management personnel to implement 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 IT products and services that meet customer needs.

Desired Qualifications

  • Deep understanding of infrastructure components such as DNS, LDAP, and security tools.
  • Hands-on experience with containers and their implementation.
  • Experience deploying and managing services such as DNS and LDAP at scale.
  • Solid understanding of microservices architecture, infrastructure as code, and configuration management tools.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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