Principal Machine Learning Infrastructure Researcher

Lightmatter is seeking a Principal Machine Learning Infrastructure Researcher to join our Machine Learning team. This team focuses on inventing novel hardware systems using Lightmatter technology and modeling the performance of Lightmatter-enabled systems on both training and inference workloads.

In this role, you will build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models. You will collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology. Additionally, you will function as the Machine Learning expert in the room and publish academic papers at top industry conferences and journals.

The ideal candidate will have a PhD in Computer Science, Electrical Engineering, or a related field, with at least 10 years of industry or research experience. A solid background in Machine Learning systems research, experience with performance evaluation and modeling, and hands-on experience with machine learning/deep learning methods are essential. Strong knowledge of AI systems, including compute and networking technologies, is also required.

Lightmatter offers a comprehensive benefits package, including health care plans, retirement savings matching, life insurance, generous time off, paid family leave, and flexible, hybrid workplace models. Equity grants are applicable to full-time employees.

Joining Lightmatter means being part of a team that is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. If you're passionate about tackling complex challenges and making an impact, we encourage you to apply.