Machine Learning systems research and performance modeling define this Principal role at Lightmatter, with a versatile hybrid workplace model stated. Lightmatter seeks a Principal Machine Learning Infrastructure Researcher for its Machine Learning team. You will invent hardware systems, model Passage-enabled performance, and analyze training and inference workloads.

The work spans product, solutions architecture, and engineering teams while advancing silicon photonics research. Key Responsibilities:

Model Passage-enabled systems across training and inference workloads Design customer reference platforms with product and solutions architecture Serve as the Machine Learning expert for teams Publish papers, whitepapers, blog posts,



and marketing collateral Lead a small team of Machine Learning engineers Requirements:

PhD in Computer Science, Electrical Engineering, or related field At least 10 years of industry or research experience Machine Learning systems research and performance modeling background Knowledge of Large Language Model training and inference frameworks Publications and leadership delivering published research results Apply Machine Learning systems expertise, performance evaluation, and research leadership to Lightmatter’s photonic computing platforms.

📌 Principal Machine Learning Systems Researcher (Winnipeg)
🏢 lightmatter
📍 Winnipeg