Analyze machine learning performance at Qualcomm Canada ULC in Markham, applying C++, Python, and debugging skills to future SoCs.As a Machine Learning Engineer within Qualcomm’s ML Systems Team, you will evaluate workloads and algorithms across hardware and software designs. The work includes pre-silicon performance prediction, simulation debugging, and identifying compute or system memory bottlenecks. You will contribute across cross-site, cross-functional teams.Key Responsibilities:
Analyze ML/AI algorithms and workloadsExplore performance, area, and power trade-offsPredict performance before silicon availabilityRun, debug, and analyze performance simulationsIdentify framework, compute, and memory bottlenecksRequirements:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related fieldBackground in algorithm development and performance analysisStrong problem-solving, analytical, and debugging skillsKnowledge of algorithms and data structuresStrong written and verbal communication skillsBring performance analysis, simulation, debugging, and algorithm expertise to Qualcomm’s machine learning hardware and software planning.
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📌 Machine Learning Performance Engineer Winnipeg
🏢 Qualcomm
📍 Winnipeg