This role pays more than
80%
of similar roles. Most pay
$152,012–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$194k
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 Distributed Software Engineer, Golang - DGX Cloud, you will join the team to design and build reliable, scalable, and efficient storage-as-a-service tailored for AI/ML applications. You will lead the architecture of distributed storage services, develop robust Go programs deployed within Kubernetes ecosystems, and create user-space applications, containers, Go-bindings, and CLI tools. Your daily work involves building features to enhance availability for large-scale deployments, automating end-to-end deployment and monitoring, and collaborating with cross-functional teams to deliver cloud services. The role requires expertise in Golang, Kubernetes, and Cloud Service Provider integrations to solve complex storage problems for products ranging from graphics drivers to autonomous vehicles. You will manage the full product lifecycle while navigating technical environments involving GPU Direct Storage, DPU, and RDMA to ensure high-performance solutions for distributed computing.
Kubernetes
AWS
GCP
Azure
Go
Python
Rust
C++
Java
Distributed Systems
Cloud-Native
Data Management
Storage Systems
Performance Engineering
Observability
Python
Go
Linux
Containers
Kubernetes
Docker
OpenStack
Slurm
Distributed Systems
Infrastructure Automation
Networking
Storage Technologies
Bare Metal as a Service
NVIDIA GPU
High-Performance Computing