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 workloads Explore performance, area, and power trade-offs Predict performance before silicon availability Run, debug, and analyze performance simulations Identify framework, compute, and memory bottlenecks Requirements:

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field Background in algorithm development and performance analysis Strong problem-solving, analytical, and debugging skills Knowledge of algorithms and data structures Solid written and verbal communication skills Bring 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