Senior Software Engineer

NVIDIA DGX Cloud provides infrastructure and software for enterprises to build, train, and deploy AI at scale.

As a Senior Software Engineer, you will design and build systems connecting customer demand, infrastructure supply, reservations, allocation, and utilization across DGX Cloud environments.

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 enabling 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 reliability, performance, and scalability of capacity-management services.

Requirements

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

Preferred Qualifications

• Experience with GPU infrastructure, AI/ML platforms, schedulers, cluster management, or accelerated computing.
• Experience building capacity planning, inventory, supply-and-demand, quota, reservation, or resource-allocation systems.
• Familiarity with optimization, forecasting, simulation, or operations-research techniques.
• Experience managing infrastructure across multiple cloud providers or geographically distributed environments and serving as a technical lead for cross-functional, business-critical initiatives.
• Demonstrated success improving infrastructure utilization while maintaining reliability and customer commitments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits.