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 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