GeForce NOW is NVIDIA's Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device type and capabilities - low-end PCs, Macs, TV or mobile devices. Using the most sophisticated GPUs and NVIDIA proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch – just click and play! For more details, see http://www.geforce.com/geforce-now.
We are looking for a Senior System Software Engineer for Cloud who sees the big picture of Cloud Computing and is deeply technical, creative, and hands-on. You will design, build, and deploy highly scalable cloud-based solutions for GeForce NOW. You will require a deep understanding of programming languages, distributed systems, multi-threading, and most importantly, cloud services. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence.
What you’ll be doing:
Build scalable cloud systems (RESTful services, microservices, APIs, frameworks) on Kubernetes.
Architect and manage Kubernetes clusters with custom components (CRDs, controllers, operators, workload scheduling, auto-scaling, multi-cluster, service mesh).
Build advanced CI/CD pipelines and workflows (Pipeline as Code, GitOps, blue-green, canary, progressive delivery, Argo CD, Flux CD).
Design observability solutions (Prometheus, Grafana, ELK, distributed tracing) and tooling (SLO/SLI, alerting, anomaly detection).
Mentor team members and drive best practices in Kubernetes, observability, and infrastructure automation.
What we need to see:
BS or MS in Computer Science or equivalent experience with 12+ years delivering SaaS/PaaS focusing on software development and Kubernetes infrastructure automation.
Extensive experience with Java, Golang, and/or Python (preference for Golang; strong Java valued) and developing/scaling backend services and microservices.
Experience with container orchestration (Kubernetes, EKS, GKE, AKS), containers (Docker, containerd), and Infrastructure as Code (Terraform, Pulumi, Helm, Kustomize).
Experience building solutions on cloud providers (AWS, Azure, GCP) with Kubernetes-native services. AWS experience (Fargate, EC2, EKS, Route53, SQS, DynamoDB) preferred.
Deep knowledge of cloud infrastructure, distributed system design, and Kubernetes-native patterns.
Strong self-initiative, interpersonal skills, adaptability, and experience writing testable, maintainable, performant codebases with focus on observability and collaboration skills across teams and time zones.
Ways to stand out from the crowd:
Experience analyzing observability data to identify bottlenecks and improvement areas.
Background with load testing frameworks and performance testing at cloud scale.
Experience with cloud-scale analytics and data-driven optimization of infrastructure and services.
With competitive salaries and a generous benefits package, NVIDIA is widely considered 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. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.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 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.Top Skills
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.”
