NVIDIA DGX Cloud provides the infrastructure and software platform that enables enterprises to build, train, and deploy AI at scale. As demand for accelerated computing grows, effective capacity management is essential to delivering reliable customer experiences while maximizing the utilization of constrained GPU infrastructure.
We are looking for a Senior Software Engineer to design and build the systems that connect customer demand, infrastructure supply, reservations, allocation, and utilization across DGX Cloud environments. You will work with engineering, product, operations, finance, and business teams to transform complex capacity data and operational processes into scalable software and automated decision-making.
What You’ll Be Doing:
- 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.
What We Need to See:
- 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.
Ways to Stand Out From the Crowd:
- 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 running 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 200,000 USD - 322,000 USD.
You will also be eligible for equity and .
Applications for this job will be accepted at least until September 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
