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 .
Our mission empowers every GeForce NOW engineer to deliver confidently by removing obstacles, catching issues early, and turning deployments into a strength rather than a liability. We handle pipelines using GitLab’s CI platform and Jenkins, along with Flux CD and Argo CD rollouts, StackStorm event-driven automation, HashiCorp Vault for credential storage, and automation across multi-cloud environments. This is the Kubernetes-native deployment platform paired with its automation system and the backend services and APIs that support it. We deliver zero-downtime global rollouts with automatic drift detection. Our reliable staging environments replicate production accurately. We provide cloud automation for bare-metal and multi-cloud environments. If a GFN service ships, runs, or self-heals, you build the infrastructure behind it.
What You'll Be Doing:
Build and develop backend microservices and REST/gRPC/MCP APIs that power the deployment platform, zone reservation/lease system, and developer self-service tooling
Extend the platform with dynamic delivery, automatic rollback, drift detection, and automated zone bootstrapping
Build and stabilize prod-like staging environments/zones so teams catch regressions early
Develop and sustain GitOps pipelines (Flux CD, Argo CD) across on-premises and Nvidia GFN Cloud/AWS/Azure/GCP
Develop Kubernetes CRDs and operators in Go for scheduling, auto-scaling, and compliance across data centers
Build backend integrations and control-plane services connecting CI/CD, observability, and automation systems into a unified platform experience
Automate dedicated hardware and multiple cloud platform configurations using Terraform, Ansible, and Vault
Implement monitoring solutions including Prometheus, Grafana, Datadog, and ELK, paired with SLO/alerting for early detection
Integrate automation tools — runbooks, StackStorm bots, anomaly-triggered remediation, and Slack self-service release bots
What We Need to See:
BS or MS in Computer Science or equivalent experience with 12+ years of experience in Cloud Infrastructure and DevOps, with deep expertise in Kubernetes, GitOps (or equivalent), and production-grade cloud-native CI/CD pipelines
Expert Kubernetes: CRDs, operators, multi-cluster management, and security hardening (CIS, PCI/SOC 2)
Proficiency in Flux CD or Argo CD, GitLab CI, and Jenkins; Go or Python for control plane development
Experience handling Vault, Terraform, Ansible, and Helm in both on-premises and cloud environments
Experience in developing and scaling RESTful, gRPC, MCP APIs and backend services.
Experience running hybrid multi-cloud and bare-metal at production scale, and owning a platform roadmap end-to-end.
Ways to Stand Out from the Crowd:
Backstage or similar internal developer portals for self-service tooling
Comprehensive expertise covering backend services as well as platform and infrastructure engineering
Daily use of AI-assisted tools (Claude Code, GitHub Copilot, Cursor) — we use these daily
Hybrid infrastructure spanning on-premises GPU clusters and public cloud
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.
Skills Required
- BS or MS in Computer Science or equivalent experience with 12+ years in Cloud Infrastructure and DevOps
- Expert Kubernetes skills including CRDs, operators, multi-cluster management, and security hardening (CIS, PCI, SOC 2)
- Proficiency with GitOps tooling: Flux CD or Argo CD, and CI platforms GitLab CI and Jenkins
- Experience developing control-plane software in Go or Python
- Experience with HashiCorp Vault for credential management
- Infrastructure-as-code and automation: Terraform, Ansible, Helm
- Experience building and scaling RESTful, gRPC, MCP APIs and backend services
- Production experience running hybrid multi-cloud and bare-metal infrastructure at scale
- Monitoring and observability: Prometheus, Grafana, Datadog, ELK, and SLO/alerting implementation
- Experience integrating automation tools: StackStorm, runbooks, bots, and Slack self-service release tooling
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.”
