Staff Machine Learning Systems Researcher, Lightmatter

• PhD in Computer Science, Electrical Engineering, or a related field
• 2 - 5 years of industry and/or research experience in the field
• Solid background in Machine Learning systems research and experience with performance evaluation and performance modeling
• Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large Language Model training and inference frameworks
• Academic publications in relevant journals and industry conferences
• Must have knowledge of AI systems, including compute (GPUs, TPUs, etc.) and networking (Ethernet, Infiniband, NVLink, etc.) technologies, and their various topologies, paradigms, and trade-offs
• Ability to independently own projects from conception to completion

Desirable

• Lightmatter is seeking a Staff Machine Learning Systems Researcher to join our Machine Learning team. This team is focused on 1) inventing novel hardware systems using Lightmatter technology, and 2) modeling the performance of Lightmatter-enabled systems on both training and inference workloads
• This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research
• Stay up to date on the latest advancements in Machine Learning research
• Build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models
• Collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology
• Function as the Machine Learning expert in the room
• Publish academic papers at top industry conferences and journals. Help support the publication of whitepapers, blog posts, and other marketing collateral