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Design, implement, and optimize scalable high-performance dense linear algebra kernels for GPUs. Provide technical leadership, collaborate with product and partners, improve performance and quality, and contribute to library roadmaps and development practices.

NVIDIA seeks a Senior Software Engineer to enhance its AI platform using JAX, focusing on performance optimization in deep learning frameworks while collaborating with applied researchers. The role requires strong programming, system design skills, and a proven ability to develop customer-facing solutions.

Lead strategic ISV and ecosystem partner development for Global Public Sector, accelerating adoption of NVIDIA AI technologies across state and local government, public safety, transportation, smart cities, and related segments. Drive account strategy, co-sell GTM, pilot-to-production transitions, executive engagement, and repeatable solution plays with field sales, product, and partner teams to convert integrations into scalable revenue and platform adoption.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

Lead the design and implementation of a GPU-accelerated propagation engine for predicting radio signal travel in 3D environments. Focus on real-time ray-tracing for 5G and 6G network simulation, optimizing for effective channel characterizations and rapid updates.

The Senior Solutions Architect will lead software development, optimize CI/CD systems, develop cloud infrastructure solutions, and collaborate across NVIDIA teams.

Lead functional safety analysis for autonomous vehicle compute and communications platforms. Perform fault-tree and model-based analyses, derive diagnostic measures, develop automation for multi-layer system analysis, interpret safety documentation, and integrate system/software/hardware safety methodologies to meet hardware safety metrics.

Design and implement high-performance communication protocols and algorithms for NVIDIA networked supercomputers and datacenters. Develop production-grade communication frameworks and applications, optimize performance and scalability, and collaborate with networking chip design teams on hardware/software co-design.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.

As a Principal Software Engineer, you will lead AI networking system transformations, manage complex customer engagements, and influence NVIDIA's networking technologies.