Senior Software Engineer – GPU Cloud, Distributed Systems

NVIDIA AI; Santa Clara (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Equity

Health Insurance

Job summary

NVIDIA AI in Santa Clara seeks an experienced software engineer to design and build distributed services and data pipelines for GPU capacity, reservations, and utilization across DGX Cloud environments.

Responsibilities include automating capacity-management workflows and developing models to improve forecasting and operational visibility, leveraging Python/Go/Java and cloud-native tech in production systems.

Qualifications

• Bachelor’s degree in a technical field.
• Over 12 years of software engineering experience building production systems.
• Strong programming skills in Python, Go, or Java.
• Experience with distributed systems and cloud infrastructure.

Responsibilities

• Design and build distributed services and data pipelines to manage GPU capacity, reservations, and utilization across DGX Cloud environments.
• Automate capacity-management workflows and develop unified models to improve forecasting and operational visibility.

Skills

Python

Go

Java

Distributed Systems

Backend Services

APIs

Data Pipelines

Kubernetes

Cloud Infrastructure

Capacity Planning

Resource Management

Data Modeling

Observability

System Integration

GPU Infrastructure

Operations Research

Education

Bachelor’s degree in a technical field

Job description

NVIDIA AI in Santa Clara seeks an experienced software engineer to design and build distributed services and data pipelines for GPU capacity, reservations, and utilization across DGX Cloud environments.

Responsibilities include automating capacity-management workflows and developing models to improve forecasting and operational visibility, leveraging Python/Go/Java and cloud-native tech in production systems.