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Design and implement enhancements to the CUDA C++ compiler, collaborate on language specification, provide engineering support, and maintain strong customer relationships. Engage in production compiler development and ensure robust code generation for deep learning applications.

The Senior Product Marketing Manager will lead product marketing efforts for NVIDIA's data center GPUs, collaborating with engineering, sales, and product teams to create marketing content and drive go-to-market strategies. Key responsibilities include promoting the GPU portfolio, engaging with technical teams to highlight product benefits, and developing innovative marketing approaches to reach diverse audiences.

As a Query Engine Architect at Nvidia, you will lead query optimization efforts for Apache Spark on GPUs. Responsibilities include optimizing logical and physical query plans, enhancing adaptive query execution, engaging with open source communities, and collaborating with partners for data processing solutions. The role demands strong experience in big data projects and a deep understanding of query engines.

The Senior Software Engineer will develop tools for AI applications at scale, improving GPU performance using PyTorch and crafting a code generation system for deep learning models. The role involves collaboration with various engineering teams and influences hardware design at NVIDIA.

As a Memory Solutions Engineer, you will bring up high-speed memory interfaces on GPUs and SoCs, conduct functional validation and testing, optimize memory I/O settings, and collaborate with various teams for validation test plans. Root-cause analysis of issues is also a key responsibility.

As a Senior Product Manager for DGX Cloud at NVIDIA, you will lead the development of a product strategy and roadmap for storage solutions, working with partners across teams. Your role includes building cloud services, educating customers, and driving product transitions with a focus on AI and emerging technologies.

You will design and develop enhancements to HPC batch schedulers, collaborate with vendors on bug fixes and feature releases, and build ecosystems for GPU-accelerated computing. Additionally, you will conduct performance analysis for deep learning workflows, create automation solutions, and perform root cause analysis for HPC issues.