Senior System Software Engineer for Cloud – GeForce NOW

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$224,000–$356,500 / yr
Posted
107 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $290k
$104k most similar roles pay here $384k

This role pays more than 99% of similar roles. Most pay $144,837–$217,725 — the shaded band above. At the midpoint, this role pays about $290k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 860 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 848 roles with salary data.

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At a glance

TL;DR · Senior System Software Engineer for Cloud – GeForce NOW

As a Senior System Software Engineer for Cloud on the GeForce NOW team, you will design and deploy highly scalable cloud-based solutions using Kubernetes to enhance Visual Computing, Deep Learning, and AI. Your daily tasks include building RESTful services, microservices, APIs, and CI/CD pipelines while managing Kubernetes clusters with custom components like CRDs and operators. You will also develop observability solutions such as Prometheus and Grafana for monitoring and alerting. Ideal candidates have over 12 years of experience in SaaS/PaaS development, expertise in Java, Golang, or Python, and a deep understanding of cloud infrastructure and Kubernetes-native patterns. Experience with AWS services like EKS and Fargate is preferred, along with strong skills in container orchestration, Infrastructure as Code tools, and performance testing at scale.

What you'll do

  • Design and build scalable cloud systems using RESTful services, microservices, APIs, and frameworks on Kubernetes.
  • Architect and manage complex Kubernetes clusters with custom components like CRDs, controllers, operators, and multi-cluster configurations.
  • Develop advanced CI/CD pipelines and workflows to ensure efficient deployment and continuous integration practices.
  • Create observability solutions including Prometheus, Grafana, ELK, and distributed tracing for monitoring cloud services.
  • Mentor team members in best practices related to Kubernetes, observability, and infrastructure automation.

What we're looking for

  • 12+ years of experience in SaaS/PaaS software development and Kubernetes infrastructure automation.
  • Extensive background with Java, Golang, Python, and developing/scaling backend services and microservices.
  • Proficiency in container orchestration (Kubernetes), containers (Docker), and Infrastructure as Code tools.
  • Experience building cloud-native solutions on AWS, Azure, or GCP with Kubernetes-native services.
  • Deep understanding of distributed system design, observability patterns, and cloud infrastructure.
  • Strong self-initiative, interpersonal skills, adaptability, and focus on testable, maintainable codebases.

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