Senior Site Reliability Engineer - GeForce Now

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated by outstanding technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. 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, encouraging environment where everyone is inspired to do their best work.

NVIDIA is looking for a Senior Site Reliability Engineer (SRE) to join its cloud service team for supporting, triaging, and building generative AI-powered visual applications. SREs are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to solve a broad spectrum of problems. We live SRE practices that are key to product quality, such as limiting time spent on reactive operational work, blameless postmortems, proactive identification of potential outages, and iterative improvements, which all make for exciting and multi-faceted day-to-day work. The person in this position will be responsible for Service Response and workflow and will drive tools/service development to maintain and improve service SLOs. We partner with Service Owners to drive the reliability of the service.

What you will be doing:

• Support and work on groundbreaking Generative AI inferencing and training workloads running in a globally-distributed heterogeneous environment that spans all major cloud service providers. Ensure the best possible performance and availability on current and next-generation GPU architectures.

• Collaborate closely with the service owner, architecture, research, and tools teams at NVIDIA to achieve ideal results for AI problems at hand.

• Monitoring & supporting critical high-performance, large-scale services running multi-cloud.

• Participate in the triage & resolution of sophisticated infra-related issues.

• Maintain services once live by measuring and monitoring availability, latency, and overall system health using metrics, logs, and traces.

• Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity.

• Practice balanced incident response and blameless postmortems.

• Be part of an on-call rotation to support production systems.

• Lead significant production improvement around tooling, automation, and process.

• Architect, design, and code using your expertise to optimize, deploy and productize services.

What we need to see:

• 8+ years of demonstrated experience operating & owning end-to-end availability and performance of critically important services in a live-site production environment, either as an SRE or Service Owner.

• 3+ years of incident management experience and participating in an on call shift to support production services.

• Bachelors or equivalent experience.

• AWS infra configuration and administration of environments.

• Proven understanding of containerization and microservices architecture, K8s. Excellent understanding of the Kubernetes ecosystem and standard methodologies with K8s.

• Ability to dissect sophisticated problems into simple sub-problems and use available solutions to resolve them.

• Best in understanding SLO/SLIs, error budgeting, KPIs, and configuring for highly sophisticated services.

• Experience with the ELK and Prometheus stacks as a power user and administrator.

• Excellent understanding of cloud environments and technologies, especially AWS, Azure, GCP, or OCI.

• Validated strengths in identifying, mitigating, and root-causing issues while continuously seeking ways to drive optimization, efficiency, and the bottom line.

Ways to stand out from the crowd:

• Exposure to containerization and cloud-based deployments for AI models.

• Excellent coding: Python, Go (Any similar language).

• Understanding of Deep Learning / Machine Learning / AI.

• Experience with Cuda, PyTorch, TensorRT, TensorFlow, and/or Triton.

• Excellent communication, presentation, social, and analytical skills; the ability to communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization.

With competitive salaries 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? Do you have a genuine passion for advancing the state of Cloud gaming & machine learning across a variety of industries? If so, we want to hear from you.

The base salary range is 164,000 USD - 391,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

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