NVIDIA is looking for a Senior Site Reliability Engineer (SRE) to join its GeForce Now (GFN) team. SRE at NVIDIA ensures that our internal and external-facing GPU cloud gaming services have reliability and uptime as promised to the users and at the same time enables developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance. As SRE, you are responsible for the big picture of how our systems relate to each other; we use a breadth of tools and approaches to tackle complex problems.
The person in this position will be responsible for Service Response and Workflows and will drive tools/service development to maintain and improve service SLOs. We partner with Service Owners to drive reliability of the service.
What you will be doing:
Working on building tools to improve the SRE Observability.
Be part of the Kubernetes migration journey with VMI setup and problem solving.
Rapidly debug and triage incidents and user-reported issues
Taking ownership of automating, scripting, and tooling of new/existing scripts to help the team achieve 100% automation of daily tasks
Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity management and launch reviews.
Be part of an on call rotation to support production systems
What we need to see:
MS or BS in Computer Science/Engineering or a related field or equivalent experience.
8+ year’s Site reliability engineering experience working on large scale distributed micro services in a production environment with a real passion for automation and tooling.
Very strong Kubernetes background and ability to understand Kubernetes with complex and highly available VMI setup on K8's.
Lead significant production improvements including change management, post-mortem reviews, workflow processes, design and deliver software automation in various languages.
Confirmed strengths in problem-solving and root causing issues, while continuously seeking ways to drive optimization, efficiency and the bottom line.
Previous experience with Datadog, Prometheus, Alertmanager, or similar monitoring systems.
Experience managing multi-region cloud deployments on hyperscalers like AWS, GCP, or Azure.
Experience designing and managing deployment pipelines using tools such as GitHub Actions, GitLab CI, or ArgoCD.
Excellent communication, presentation, social, and analytical skills; the ability to communicate complex interaction concepts clearly and persuasively across different audiences and varying levels of the organization.
Production-grade coding proficiency in languages like Go, Python, or robust Bash scripting.
Production on-call experience is a must. Should have served in a primary production on-call rotation, responding to and mitigating high-severity infrastructure alerts and service degradations.
Ways to stand out from the crowd:
Experience working with automated anomaly detection, log clustering tools, or LLM-assisted debugging platforms.
Comfortable using AI on a day-to-day basis as an SRE
Prior experience as an SRE or Service Engineer is a huge plus.
With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous Site Reliability Engineer who loves challenges? The GFN Service is an exciting service in the newly growing game streaming industry.
You will also be eligible for equity and benefits.
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.Skills Required
- MS or BS in Computer Science/Engineering or equivalent experience
- 8+ years Site Reliability Engineering experience working on large-scale distributed microservices in production
- Very strong Kubernetes background, including complex and highly available VMI setup on Kubernetes
- Production-grade coding proficiency in Go, Python, or robust Bash scripting
- Experience with Datadog, Prometheus, Alertmanager, or similar monitoring systems
- Experience managing multi-region cloud deployments on AWS, GCP, or Azure
- Experience designing and managing deployment pipelines using GitHub Actions, GitLab CI, or ArgoCD
- Production on-call experience as a primary on-call responder for high-severity incidents
- Proven ability to lead production improvements: change management, post-mortem reviews, workflow/process design, and software automation
- Strong problem-solving and root cause analysis skills, with focus on optimization and efficiency
- Excellent communication, presentation, social, and analytical skills
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.”
