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The Solution Engineer will engage with clients to design and implement technical solutions, providing expert consultations and acting as a liaison between clients and technical staff.

As a Senior SDeT, you will develop software infrastructure for deep learning compiler verification, maintain CI/CD pipelines, and benchmark AI models, ensuring high-quality code and performance improvements.

The engineer will design and implement interfaces and optimize compiler pipelines for large-scale machine learning workloads while collaborating with GPU architecture teams.

The role involves developing techniques to optimize workloads on NVIDIA platforms, collaborating with teams, and ensuring performance on hardware. Requires extensive experience in programming and architecture.

Lead the architecture and development of AI inferencing software, optimizing performance and collaborating with teams across NVIDIA.

Lead strategic relationships with key opinion leaders and ISVs in promoting CUDA-X products, driving software adoption, and collaborating with community stakeholders.

Design and implement GPUs and SoCs, focusing on Micro-architecture and system-level functions, collaborating closely with ASIC designers and verification engineers.

Develop and optimize high-performance numerical sparse linear algebra software, provide technical leadership, and enhance library performance in a collaborative environment.

Design, develop, and optimize AI solutions. Collaborate on algorithms, improve performance, and contribute to open-source frameworks.

Lead architectural vision for NVIDIA's GPU Infrastructure-as-a-Service offerings, defining scalable, high-performance architectures and guiding strategy across hardware and partner ecosystems.