Senior Software Engineer, Capacity Planning for Cloud GPUs

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 200,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Software Engineer forCapacity Management within DGX Cloud in Santa Clara. You will design and build systems connecting customer demand with infrastructure supply, reservations, and utilization to optimize GPU capacity across environments.

You will develop data pipelines, APIs, and tooling to automate capacity workflows, improve forecasting, and provide operational visibility. A senior engineer will mentor teammates and drive engineering standards.

Qualifications

• BS or equivalent in Computer Science, Computer Engineering, or a related technical field.
• 12+ years of software engineering experience building production systems.
• Experience designing distributed systems, backend services, APIs, and data-processing pipelines.

Responsibilities

• Design and build distributed services and data pipelines for capacity planning, allocation, reservations, and utilization.
• Develop a unified model of capacity across cloud providers, regions, clusters, and products.
• Automate capacity-management workflows currently done manually.
• Build APIs and integrations for other DGX Cloud systems to make capacity-aware decisions.
• Improve forecasting, scenario planning, and operational visibility by merging demand with supply data.
• Lead technical design reviews, establish engineering standards, and mentor other engineers.

Skills

Python

Go

Java

Distributed systems

APIs

Data pipelines

Cloud infrastructure

Kubernetes

Data modeling

Observability

Production operations

Education

BS or equivalent in Computer Science/Computer Engineering/related

Tools

Kubernetes

Job description

NVIDIA Corporation is seeking a Senior Software Engineer forCapacity Management within DGX Cloud in Santa Clara. You will design and build systems connecting customer demand with infrastructure supply, reservations, and utilization to optimize GPU capacity across environments.

You will develop data pipelines, APIs, and tooling to automate capacity workflows, improve forecasting, and provide operational visibility. A senior engineer will mentor teammates and drive engineering standards.