Job description

NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, generative AI, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. We are seeking a highly skilled Senior Staff SRE to join our dynamic team. Our company is at the forefront of technological innovation, and we are dedicated to driving efficiency and optimizing the performance of our infrastructure both on-prem and cloud. Join us in this exciting endeavor! What you will be doing: • Lead initiatives to transform IT Compute Core Team, architecture to build new service offerings across On-Prem and Cloud • You will design, scale, and deploy core infrastructure services including DNS, NTP/PTP, DHCP, and LDAP. This includes building for performance and reliability at global scale, covering automation, monitoring, high availability, capacity planning, and lifecycle management. • Define and implement metrics to measure the efficiency of services and drive efficiency with software and hardware optimizations (SR-IOV/ DPU) • Experience with Technologies like eBPF and XDP for Observability & DDoS mitigation • Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes. • Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, 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 related field, or equivalent experience • 12+ years of proven experience in compute platform engineering with a focus on automation. • Experience in designing and deploying Containerization architectures and Distributed Systems Infrastructure • Proven experience evaluating existing application architectures and identify opportunities for containerization to improve scalability, reliability, and efficiency. • Strong analytical skills with the ability to define and track key performance metrics. • Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools. • Proficiency in programming languages such as Go and/or Python. • Linux OS Proficiency with Kernel Internals • Experience with running large environments consisting of BareMetal Build Infrastructure • Understanding of Network Protocols and Architectures (VLAN/VxLAN/SDN/BGP/Anycast) Ways to stand out from the crowd: • Deep understanding of other infrastructure components like, DNS, LDAP, Security Tools etc.. • Hands-on experience with containers and its implementation • Deploying and Managing Services like DNS , LDAP at scale • Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Lead initiatives to transform IT Compute Core Team, architecture to build new service offerings across On-Prem and Cloud
Define and implement metrics to measure the efficiency of services and drive efficiency with software and hardware optimizations (SR-IOV/ DPU)
Experience with Technologies like eBPF and XDP for Observability & DDoS mitigation
Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.
Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.
Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.
Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience
12+ years of proven experience in compute platform engineering with a focus on automation.
Experience in designing and deploying Containerization architectures and Distributed Systems Infrastructure
Proven experience evaluating existing application architectures and identify opportunities for containerization to improve scalability, reliability, and efficiency.
Strong analytical skills with the ability to define and track key performance metrics.
Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools.
Proficiency in programming languages such as Go and/or Python.
Linux OS Proficiency with Kernel Internals
Experience with running large environments consisting of BareMetal Build Infrastructure
Understanding of Network Protocols and Architectures (VLAN/VxLAN/SDN/BGP/Anycast)
Deep understanding of other infrastructure components like, DNS, LDAP, Security Tools etc..
Hands-on experience with containers and its implementation
Deploying and Managing Services like DNS , LDAP at scale
Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigopython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision