Principal Machine Learning Engineer - Supply Chain

NVIDIA, the pioneering force behind GPU technology and modern AI computing, is seeking a Principal Machine Learning Engineer to join their Enterprise AI team. This role presents an exceptional opportunity to lead the development of cutting-edge AI solutions that will transform enterprise operations, with a particular focus on optimizing NVIDIA's complex global supply chains for chip-design and manufacturing programs.

The position combines advanced AI technology development with practical business applications, requiring expertise in developing and productionizing sophisticated AI systems. You'll work with state-of-the-art technologies including Retrieval-Augmented Generation (RAG) pipelines, large language models, and optimization engines, all while leveraging NVIDIA's powerful GPU infrastructure.

Key responsibilities include developing intelligent AI solutions using NVIDIA's technology stack, leading AI product development for supply-chain optimization, and designing machine learning architectures for semiconductor-specific use cases. You'll collaborate closely with supply-chain operation teams to identify high-impact opportunities and drive measurable business outcomes.

The ideal candidate brings 12+ years of hands-on experience in ML system development, advanced degrees in relevant technical fields, and demonstrated expertise in applying AI to supply-chain challenges. Strong knowledge of modern NLP/GenAI techniques, expert-level Python programming, and experience with deep learning frameworks are essential.

This role offers the opportunity to work at one of technology's most desirable employers, with competitive compensation including a base salary range of $272,000-$425,500 USD, plus equity and benefits. You'll be at the forefront of Enterprise AI development, working with some of the industry's most forward-thinking professionals to shape the future of AI-driven supply chain optimization.