This role pays more than
99%
of similar roles. Most pay
$130,250–$189,950
— the shaded band above.
At the midpoint, this role pays about
$322k
versus about
$160k
for comparable roles.
Based on 239 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
987 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 973 roles with salary data.
As a Principal AI/ML Engineer at NVIDIA, you will join our dynamic team to lead the architecture and design of network automation platforms across data centers, clouds, campuses, and enterprises. Your day-to-day responsibilities include building source-of-truth-driven automation workflows using in-house platforms, designing scalable data models for various network elements, and generating deployment artifacts from network models. You will also develop multi-vendor provisioning and onboarding workflows, create automated validation tools, and collaborate cross-functionally to set technical standards and mentor engineers. The role requires strong software engineering skills in Python and Golang, experience with DCIM/IPAM platforms like Nautobot/NetBox, and proficiency in Terraform/Ansible for infrastructure as code. Additionally, you should have a deep understanding of data center networking fundamentals and broad multi-vendor platform expertise, including observability integration and Kubernetes-based testing. This position is pivotal in transforming our IT Networking space to run AI on-prem and build robust infrastructure for large-scale deployments.
Ansible
Puppet
Terraform
Python
HTML
C++
Linux
GitHub Actions
DevOps
CI/CD
Kubernetes
AWS
Azure
Google Cloud Platform
Docker
Prometheus
Grafana
PostgreSQL
MySQL
Git
Jenkins
Nginx