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
Robust problem-solving, analytical, and debugging skills
Knowledge of algorithms and data structures
Strong 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 (Ontario)
🏢 QUALCOMM
📍 Ontario