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
15+ 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!
#LI-Hybrid
Skills Required
- Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field, or equivalent experience
- 15+ years of experience in compute platform engineering 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 ability to define and track key performance metrics
- Experience developing tools for data analysis and performance profiling
- Experience with Terraform and configuration management tools
- Proficiency in Go and/or Python
- Proficiency with Linux operating systems and kernel internals
- Experience operating large bare-metal build infrastructure environments
- Understanding of network protocols and architectures including VLAN, VXLAN, SDN, BGP, and Anycast
- Deep understanding of infrastructure components including DNS, LDAP, and security tools
- Hands-on experience with containers and their implementation
- Experience deploying and managing DNS and LDAP services at scale
- Strong understanding of microservices architecture, infrastructure as code, and configuration management tools
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
