Senior System Software Engineer for Cloud – GeForce NOW

Nvidia · Santa Clara, CA

senior operations Systems Engineer ic 12+ yrs Bachelor's · Posted Apr 20, 2026

About this role

Nvidia is hiring a senior-level Systems Engineer in the operations function based in Santa Clara, CA. The posting calls out experience with Python, Java, Go, REST APIs and roughly 12+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Systems Engineer
Function
operations
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Santa Clara, CA
Experience
12+ years
Education
Bachelor's degree
Posted
Apr 20, 2026
AI Summary
Design and build scalable cloud systems for GeForce NOW using Kubernetes, microservices, and CI/CD pipelines. Requires 12+ years SaaS/PaaS experience with strong Golang, Java, or Python skills and deep Kubernetes infrastructure expertise. Lead team best practices across distributed systems and observability.
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Job description

from Nvidia careers

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).

    This is an excerpt. Read the full job description on Nvidia careers →
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