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This role involves managing product quality initiatives for NVIDIA's datacenter hardware, addressing customer complaints, reporting metrics, and coordinating incident resolutions.

Lead the architecture and delivery of high-scale web products across frontend and backend services, mentoring engineers, and improving code quality. Collaborate to enhance AI infrastructure for efficient research management.

As a Principal Software Engineer in the DGX Cloud team at NVIDIA, you'll lead the development of cloud systems, drive integration strategies, mentor engineers, and architect scalable automation solutions to enhance customer experiences in AI and cloud computing.

Lead technical engagement for autonomous aerial systems in defense, integrating NVIDIA software and collaborating with industry leaders to optimize flight-ready solutions.

Drive the development of AI kernel generation products, working with internal and external teams to optimize workflows and enhance performance of AI deployments.

Develop and enhance graphics developer tools for NVIDIA GPUs, focusing on 3D graphics, AI integration, and performance improvement. Collaborate with internal teams and manage project tasks effectively.

As a Product Development Engineer, you will design and implement manufacturing processes for AI products, support product validation, and collaborate with teams for improvements.

Lead efforts in developing and enhancing PTX Compiler infrastructure for Generative AI and Deep Learning applications in NVIDIA GPUs. Collaborate with architecture teams to support AI workloads and ensure high-quality code generation.

Drive physical design for CPUs, GPUs, and SoCs, focusing on netlist aspects, timing convergence, and utilizing EDA tools for high-frequency, low-power designs.

The Reliability Test Manager at NVIDIA oversees reliability testing for products, ensuring compliance with standards, managing teams, and driving improvements in testing processes.