Senior Software Engineer - Capacity Management for GPU Cloud

Nvidia Corporation in

Santa Clara (CA)

On-site

USD 140,000 - 270,000

Full time

2 days ago
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Job summary

NVIDIA is seeking a Senior Software Engineer to design and build capacity-management systems for DGX Cloud, connecting demand, supply, reservations, and utilization. You will work with cross-functional teams to transform data and processes into scalable software and automated decisions.

You will lead design reviews, mentor engineers, and improve reliability while shaping capacity strategies across cloud regions and products.

Qualifications

  • BS or equivalent in CS/CE or related field.
  • 5+ years building production software systems.
  • Strong programming in Python, Go, or Java.
  • Experience designing distributed services and data pipelines.
  • Experience with cloud infra, Kubernetes, and large-scale resource management.

Responsibilities

  • Design and build distributed services and data pipelines for capacity planning and utilization.
  • Develop a unified model of GPU capacity across providers, regions, clusters, and products.
  • Automate capacity-management workflows currently done manually.
  • Build APIs and integrations enabling capacity-aware decisions.
  • Improve forecasting and operational visibility by combining demand and supply data.
  • Establish monitoring and data-quality controls for capacity systems.
  • Lead technical design reviews and mentor other engineers.
  • Diagnose production issues to improve reliability and scalability.

Skills

Python
Go
Java
Distributed systems
Observability & production operations

Education

BS in Computer Science/Engineering or related field

Tools

Kubernetes
Cloud platforms

Job description

NVIDIA is seeking a Senior Software Engineer to design and build capacity-management systems for DGX Cloud, connecting demand, supply, reservations, and utilization. You will work with cross-functional teams to transform data and processes into scalable software and automated decisions.

You will lead design reviews, mentor engineers, and improve reliability while shaping capacity strategies across cloud regions and products.

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