Machine Learning systems research and performance modeling define this Principal role at Lightmatter, with a adaptable 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 workloadsDesign customer reference platforms with product and solutions architectureServe as the Machine Learning expert for teamsPublish papers, whitepapers, blog posts,



and marketing collateralLead a small team of Machine Learning engineersRequirements:
PhD in Computer Science, Electrical Engineering, or related fieldAt least 10 years of industry or research experienceMachine Learning systems research and performance modeling backgroundKnowledge of Large Language Model training and inference frameworksPublications and leadership delivering published research resultsApply Machine Learning systems expertise, performance evaluation, and research leadership to Lightmatter’s photonic computing platforms.
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📌 Principal Machine Learning Systems Researcher (Winnipeg)
🏢 lightmatter
📍 Winnipeg