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The role involves developing simulation platforms for NVIDIA DGX Servers, enhancing simulator components, and improving software performance.

As a Network Compiler Verification Engineer, you will create and automate tests, verify DPU compiler functionality, and enhance testing methodologies.

The Field Applications Engineer will provide technical support for NVIDIA switches, collaborate with sales, and manage relationships with customers in AI datacenters.

Lead technical programs with Cloud Service Providers, manage data center projects, ensure timely delivery of features, and communicate status to leadership.

Develop software infrastructure for DGX Cloud's AI marketplace by integrating cloud partners, designing APIs, and enhancing reliability and automation.

Lead the Base OS Engineering team for NVIDIA, driving Linux platform development across multiple programs, collaborating with hardware and software teams, and engaging with external partners.

As a Principal Engineer at NVIDIA, you will develop generative AI models and lead research in speech recognition and natural language processing while mentoring team members.

Lead the enhancement of Linux for autonomous machines, perform product performance analysis, and collaborate with teams for software solutions.

Lead compiler development teams for CUDA C++ and OpenCL, guiding design, implementation, and collaboration on GPU architectures ensuring performance and standards conformance.

Design and deploy NVIDIA networking platforms, support customers' needs, troubleshoot complex networking issues, and work with R&D on innovative technologies.