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 strong 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
- Solid 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.

📌 Senior Embedded Engineer in AI Solutions (Markham)
🏢 Qualcomm
📍 Markham