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 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 in Markham employer: QUALCOMM, Inc.
Qualcomm Canada ULC is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration in the field of AI and machine learning. Located in a vibrant tech hub, employees benefit from competitive compensation, a comprehensive benefits package, and ample opportunities for professional growth and development. Join a team that not only values your contributions but also supports your journey in shaping the future of connected devices.
