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The Senior Software Engineer will develop and support NVIDIA's GPU administration tools, focusing on system and device monitoring for NVIDIA Tegra platforms. Responsibilities include coding and maintaining software for Compute GPU products on Windows and Linux, collaborating with cross-functional teams, and driving development efforts for new features and improvements.

As a Principal Graphics Hardware Architect at NVIDIA, you will design and enhance features in GPU architecture, collaborate with top architects to build simulators, and develop software for hardware testing. Your role includes creating test plans, validating performance models, and pushing the boundaries of graphics and computing capabilities.

Lead the design of GPU compute clusters for AI, HPC, and compute-intensive workloads. Optimize datacenter resource usage and drive operational excellence through automation. Collaborate with multi-functional teams to improve performance and cost-effectiveness of AI computing operations.

Lead the architecture and design of new cloud solutions for orchestration and provisioning. Work on telemetry of DPU in cloud environments, define integrations with SDNs, and develop service function chaining management. Stay ahead of technology trends and innovate within the networking space.

As a Senior QA Software Engineer, you will be responsible for testing Ethernet Switch/Router systems, developing test plans, automating test suites, and collaborating with engineering teams to ensure high-quality Cumulus Linux features. You will utilize strong problem-solving and technical skills to identify and resolve issues.

As a Senior System Software Engineer at NVIDIA, you will engage with partners and customers to address performance issues with NCCL, develop and automate tools for high-speed networking applications, and conduct training sessions. You will analyze performance and collaborate with internal teams on innovative AI networking solutions.

As a Senior GenAI Algorithms Engineer at NVIDIA, you will design, develop, and optimize AI algorithms, particularly in deep learning and large language models. Responsibilities include contributing to the NeMo framework, developing state-of-the-art models, and improving AI libraries and APIs. Strong programming skills and a background in mathematics and AI algorithms are essential.