NVIDIA is seeking a Senior Software Engineer to develop systems that manage capacity for DGX Cloud environments. The role focuses on connecting customer demand with infrastructure supply, enabling efficient utilization of GPU resources. You will collaborate with various teams to automate decision-making processes and improve operational visibility. This position requires a blend of technical expertise and strong communication skills to translate complex data into actionable software solutions.

• BS or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
• 12+ 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.

• 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.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.