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Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins - including
Lead GPU software engineering teams for Snapdragon Adreno, spanning Vulkan, OpenCL, SYCL, DirectX 12, research initiatives, and internal developer tools; Lead Embedded software engineering teams for AI data-center inference products, with a focus on core
Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable; Work closely with development teams, offering practical, hands-on guidance throughout the full software
Architect, develop, and maintain Splunk core platform infrastructure components across multiple cloud providers (AWS, Google Cloud Platform, Microsoft Azure), focusing on scalable, secure, and maintainable software solutions. Drive improvements in
Utilize proven technical best practices to inspire and guide the team, ensure that their solutions can be used by other teams in an easy and flexible manner; Own all parts of the service lifecycle, including design, development documentation, testing,