below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$169,550–$216,031
— the blue band above.
At the midpoint, this role pays about
$352k
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Principal Software Engineer - DGX Cloud joins the DGX Cloud team to build foundational systems for high-performance GPU infrastructure. This role involves leading the development of next-generation APIs, state management, and workflow orchestration systems to automate fleet lifecycle operations at a massive scale. You will drive technical alignment across dependent systems, mentor senior engineers, and codify business processes into scalable platforms to reduce manual toil. Key responsibilities include directing integration strategies for AI schedulers like Kubernetes and Slurm, alongside observability systems such as Prometheus, OpenTelemetry, and Grafana. You must demonstrate proficiency in Go, Java, or Python while managing complex distributed systems, data pipelines, and container ecosystems like Docker. The work focuses on solving operational challenges within global cloud infrastructure and the NVIDIA AI/ML software stack.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Build next-generation APIs, state management, and workflow orchestration systems to automate fleet lifecycle operations at scale.
Drive technical alignment across dependent systems to ensure cohesive integration and reliable end-to-end workflows.
Coach and mentor senior engineers to elevate technical standards and guidelines across the organization.
Translate technical insights into high-impact business solutions that prioritize the customer experience and product requirements.
Codify critical business processes into self-measuring, scalable, and operationally consistent platforms to reduce manual toil.
Direct the integration strategy for AI schedulers like Kubernetes and Slurm and observability systems like Prometheus.
Define and evolve the architecture of high-scale distributed systems, including control planes and data pipelines.
What we're looking for
16+ years of progressive industry experience.
Master’s or bachelor’s degree in computer science or a related field, or equivalent experience defining and shipping complex distributed systems.
Deep, hands-on expertise in establishing, operating, and scaling services in a fast-paced, high-reliability environment.
Outstanding proficiency in modern systems programming languages such as Go, Java, or Python.
Proven track record of defining, owning, and evolving the architecture of high-scale distributed systems, including APIs, control planes, and data pipelines.
Deep understanding of global cloud infrastructure (AWS, GCP, Azure) and container ecosystems (Docker, Kubernetes).
Demonstrated ability to drive technical strategy, influence outcomes across organizational boundaries, and mentor high-performing engineers.
Experience in a Principal/Staff+ capacity delivering measurable improvements in operational efficiency, reliability, and security (preferred).
Kubernetes
Go
C
Linux
Cloud Computing
CI/CD
Gitlab
Argo
Flux
Container Orchestration
Distributed Systems
Unix
Data Structures and Algorithms
GPU
DPU
Confidential Computing