Santa Clara, CA · Austin, TX · Boulder, CO · Seattle, WA
Salary
$184,000–$287,500 / yr
Posted
24 days ago
Market check
Salary context
Above market
How this pay compares to similar roles
Similar $187k
This role $236k
$119k
most similar roles pay here
$306k
This role pays more than
87%
of similar roles. Most pay
$152,585–$222,000
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$187k
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
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
As a Cloud Platform Software Engineer at NVIDIA’s Cloud Native Engineering group, you will collaborate with architects, designers, frontend engineers, SREs, and other technical leaders to build a scalable AI supercomputing infrastructure on Kubernetes. Your responsibilities include designing and implementing software aligned with the architectural vision for the NVIDIA Cloud Platform, contributing to core features such as APIs for Infrastructure as Code automation, and ensuring high-quality software through unit and integration testing. You will work closely with SRE teams to troubleshoot complex distributed systems and drive operational excellence, following NVIDIA’s Cloud Native development practices. The role requires expertise in Golang for Kubernetes operators and controllers, proficiency in cloud-native infrastructure across major cloud providers, and experience with Kubernetes Cluster API, Terraform, and other automation tools. You will also contribute to open-source projects within the CNCF ecosystem and have a strong background in modern infrastructure design patterns.
C/C++
Python
NVLink
system software
microcode
networking
computer architecture
operating systems
drivers
firmware
security features
SW development lifecycles
HW development lifecycles
pre-silicon
bring-up