Senior Site Reliability Engineer

We are seeking a highly skilled Principal Staff SRE to join our dynamic Core Infrastructure team. This role will lead initiatives that improve the efficiency, performance, reliability, and evolution of infrastructure services across on-premises and cloud environments. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

What you'll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• Deep understanding of complementary infrastructure components, including 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.