Machine Learning Software Platform Architect

NVIDIA, a pioneer in GPU technology and artificial intelligence, is seeking a Machine Learning Software Platform Architect to join their innovative team. This role sits at the crucial intersection of GPU chip design and AI, focusing on developing and maintaining infrastructure for large language models (LLMs) specifically adapted for the hardware domain.

The position offers an exciting opportunity to work with cutting-edge technology in AI and chip design, combining both fields to create innovative solutions. You'll be responsible for developing LLM-based applications that serve hardware engineers, including QA bots and code generators, while collaborating closely with hardware chip designers and LLM research teams.

The ideal candidate will bring strong expertise in Python, web development, and LLM-related techniques, along with a deep understanding of machine learning concepts. You'll be working in Santa Clara, CA, with a competitive salary range of $148,000 to $356,500, plus equity and comprehensive benefits.

NVIDIA's position as an industry leader in High-Performance Computing, AI, and Visualization makes this an exceptional opportunity for someone passionate about applying machine learning to solve complex problems in hardware design. The role offers the chance to work with some of the most forward-thinking professionals in the industry while contributing to groundbreaking developments in AI and chip design.

The company's commitment to innovation, coupled with its strong market position and continuous growth, makes this an ideal opportunity for a seasoned professional looking to make a significant impact in the intersection of AI and hardware technology. You'll be part of a team that's pushing the boundaries of what's possible in AI and chip design, while enjoying the benefits of working for one of the technology world's most desirable employers.