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Drive the engineering contribution strategy across the JAX ecosystem stack - including JAX core, XLA, Shardy, MPMD, and application-level codebases like MaxText - prioritizing where NVIDIA's contributions create maximum impact on performance, adoption,
Drive large-scale Enterprise AI software programs, adhering to scope, schedule, budget, and quality requirements; Lead Agile project management processes, collaborating closely with software, 3rd parties contractors and internal teams to promote effective
You will design and develop end-to-end, scalable AI systems to enable the efficient industrialization of customer projects, with a particular focus on Generative AI; You will take technical responsibility for complex, cross-functional AI initiatives –
Build and optimize data pipelines to support training and inference for large AI models; Collaborate with ML engineers to deploy models efficiently at scale; Monitor and troubleshoot infrastructure performance, availability, and security...
Design, develop, and maintain AI-driven software applications (including Vision Language Action Models (VLAs)) for robotic systems, ensuring high performance and reliability. Write clean, maintainable, and well-documented code following best practices and