Role at a glance
- Salary
- $168K – $270.3K/yr
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- MS or BS in Computer Science/Engineering or a related field or equivalent experience.
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Role Summary
The Senior Site Reliability Engineer will join NVIDIA’s GeForce Now team, supporting internal and external-facing GPU cloud gaming services. The role focuses on Service Response and Workflows, service development, observability, reliability, and maintaining and improving service SLOs in partnership with Service Owners.
What You'll Do
- Build tools to improve SRE observability.
- Participate in the Kubernetes migration journey with VMI setup and problem solving.
- Rapidly debug and triage incidents and user-reported issues.
- Automate, script, and improve tooling for new and existing scripts.
- Support services before launch through system design consulting, software platforms and frameworks, capacity management, and launch reviews.
- Participate in an on-call rotation supporting production systems.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
MS or BS in Computer Science/Engineering or a related field or equivalent experience; 8+ years of Site Reliability Engineering experience with large-scale distributed microservices in production; strong Kubernetes background; experience with monitoring systems, multi-region cloud deployments, deployment pipelines, production-grade coding in Go, Python, or Bash, and production on-call rotations.
Required
- MS or BS in Computer Science/Engineering or a related field or equivalent experience
- 8+ years of Site Reliability Engineering experience
- Large-scale distributed microservices production experience
- Kubernetes experience with highly available VMI setups
- 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-grade coding proficiency in Go, Python, or Bash
Preferred
- Experience 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.