This role pays more than
83%
of similar roles. Most pay
$151,000–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$193k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Systems Software Engineer, Developer Productivity and Cloud Automation - GeForce NOW, you will join the team responsible for the Kubernetes-native deployment platform and its supporting backend services and APIs. You will build and develop backend microservices, REST/gRPC/MCP APIs, and developer self-service tooling while extending the platform with dynamic delivery, automatic rollback, and drift detection. Your daily work involves developing Kubernetes CRDs and operators in Go for scheduling and auto-scaling, as well as managing GitOps pipelines using Flux CD, Argo CD, GitLab CI, and Jenkins. You will automate infrastructure across multi-cloud and bare-metal environments using Terraform, Ansible, and Vault. The role focuses on the technical challenge of providing reliable staging environments, automated zone bootstrapping, and integrated monitoring solutions using Prometheus, Grafana, Datadog, and ELK to ensure stable global rollouts for cloud gaming services.
Linux Kernel
KVM Hypervisor
Python
C
C++
Rust
x86
ARM
Kubernetes
GPUView
Nvidia Nsight
Kernel shark
System Software
Memory Management
Computer Architecture
CPU/GPU Scheduler
Virtualization Platforms
Game Engines