NVIDIA's Production Engineering team is looking for highly motivated Platform engineers to lead a global, dynamic, state-of-the-art Service Reliability Operations center, to provide extraordinary levels of support for our Cloud products and services. As a key member of the Production Engineering team, you will partner with other key members of our organization including Site Reliability Engineering, Security Operations Center, DevOps teams, and other partners to help make our services capable of providing near 100% availability. On occasion that an incident occurs, you will be our front line to decrease the frequency and duration of any issue. Working in partnership with the development community you will develop monitors, alarms, and alerts to help make the service more reliable and improve our customer experience.
What you will be doing:
Being a member of the 24/7 Production engineering team to support Production Kubernetes Services, with a focus on automation and on reducing manual tasks. Flexibility to work on split-weekend shifts.
Perform large scale K8s administration, systems administration, and security monitoring tasks to maintain service SLAs,integrity and reliability.
Utilize alerts, alarms, and observability tools to proactively monitor, detect, prevent, and respond to incidents.
Apply deep systems knowledge to analyze logs, metrics, and system behavior to troubleshoot issues, lead root cause analysis, and implement effective resolutions.
Initiate and lead incident management calls, ensuring timely detection, escalation, and resolution of issues by engaging subject matter experts and service owners as needed to resolve complex incidents efficiently.
What we need to see:
7+ years of demonstrated experience administering large-scale production Kubernetes systems in high-availability Internet, Cloud, or Data Center environments. Strong preference for on-prem expertise.
BS in Computer Science, Engineering, Mathematics, or equivalent experience.
Advanced hands-on experience with Kubernetes, SLURM, and large-scale cluster management.
Familiarity with GPU / DPU hardware and high-performance computing Cluster environments.
Strong Linux system administration, DNS, DHCP and core linux networking (IP Tables, routing, firewalls) experience with skills to troubleshoot and maintain Services on large-scale bare-metal infrastructure.
Experience working with CI/CD tools like Jenkins, ArgoCD.
Experience in scripting, Programming in Python or Golang or Rust preferred, but not required.
Strong communication and soft skills, able to present to cross-functional group members in a persuasive manner.
Ways to stand out from the crowd:
Experience architecting, building, and deploying K8s for large-scale environments, used by thousands of people.
Passion for innovation and experience in groundbreaking high-performance Cluster technologies.
Ability to learn new technologies quickly.
Skills Required
- 7+ years administering large-scale production Kubernetes systems in high-availability Internet, cloud, or data center environments
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experience
- Advanced hands-on experience with Kubernetes, SLURM, and large-scale cluster management
- Familiarity with GPU/DPU hardware and high-performance computing cluster environments
- Strong Linux system administration, DNS, DHCP, IP Tables, routing, and firewall experience
- Experience troubleshooting and maintaining services on large-scale bare-metal infrastructure
- Experience with CI/CD tools such as Jenkins and ArgoCD
- Strong communication and soft skills, including presenting to cross-functional groups
- Experience architecting, building, and deploying Kubernetes for large-scale environments
- Programming or scripting experience in Python, Golang, or Rust
- Strong preference for on-premises expertise
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.”
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