Senior Software Engineer - Capacity & Resource Management

NVIDIA; Santa Clara (CA); On-site; USD 140,000 - 270,000; Full time

Job summary

NVIDIA DGX Cloud is building the infrastructure and software platform to enable enterprises to build, train, and deploy AI at scale. This Senior Software Engineer will connect demand, supply, reservations, and utilization across DGX Cloud environments, working with cross-functional teams to turn complex capacity data into scalable software and automated decisions.

You will design distributed systems, backend services, and data pipelines, and mentor engineers while improving forecasting,

Qualifications

• BS or equivalent in Computer Science, Computer Engineering, or a related technical field.
• 5+ years of software engineering experience building production systems.
• Proficient in Python, Go, Java, or similar languages.
• Experience designing distributed systems, backend services, APIs, and data-processing pipelines.
• Experience working with cloud infrastructure and Kubernetes.
• Strong data modeling, observability, and production operations knowledge.
• Ability to turn ambiguous business and operational requirements into clear technical designs.
• Strong communication skills and experience working across engineering and non-engineering organizations.

Responsibilities

• Design and build distributed services and data pipelines for capacity planning, allocation, reservations, and utilization.
• Develop a unified model of available, committed, and forecasted GPU capacity across cloud providers, regions, clusters, and products.
• Automate capacity-management workflows currently dependent on manual analysis and coordination.
• Build APIs, tools, and integrations that enable other DGX Cloud systems and teams to make capacity-aware decisions.
• Improve forecasting, scenario planning, and operational visibility by combining demand signals with infrastructure supply data.
• Establish monitoring, data-quality controls, and service-level indicators for capacity systems.
• Lead technical design reviews, establish engineering standards, and mentor other engineers.
• Diagnose complex production issues and improve the reliability, performance, and scalability of capacity-management services.

Skills

Software engineering

Python

Go

Java

Distributed systems

APIs

Data pipelines

Cloud infrastructure

Kubernetes

Observability

Production operations

Communication

Education

BS in Computer Science

Tools

Kubernetes

Job description

NVIDIA DGX Cloud is building the infrastructure and software platform to enable enterprises to build, train, and deploy AI at scale. This Senior Software Engineer will connect demand, supply, reservations, and utilization across DGX Cloud environments, working with cross-functional teams to turn complex capacity data into scalable software and automated decisions.

You will design distributed systems, backend services, and data pipelines, and mentor engineers while improving forecasting,