Become a key player at Qualcomm in optimizing AI models as a Senior Embedded Engineer. Ideal candidates will bring expertise in C/C++ and a robust foundation in machine learning.

In this position with Qualcomm’s Low Power AI team, you will focus on deploying and optimizing AI models on our hardware. The role demands hands-on skills in performance optimization, experience in embedding software, and familiarity with machine learning frameworks. Collaborate closely with cross-functional teams to deliver efficient AI models that enhance product performance.

Key Responsibilities:
• Optimize AI model performance through software development
• Implement state-of-the-art machine learning algorithms
• Model and architect machine learning hardware




• Conduct and evaluate experiments for model training
• Assist in integrating machine learning techniques into products

Requirements:
• Bachelor's degree and 2+ years in relevant engineering fields
• Strong C/C++ programming skills
• Experience with ML frameworks like TensorFlow
• Familiarity with Linux and hardware interactions
• Knowledge of statistics and probability

Contribute your skills in C/C++ and machine learning to advance Qualcomm's innovative AI solutions.
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📌 Senior Embedded Engineer in AI Solutions (Ontario)
🏢 Qualcomm
📍 Ontario