Performance Engineer in Machine Learning
Job Description & How to Apply Below
Join Qualcomm as a Performance Engineer focusing on machine learning frameworks and compilers. Drive innovation in AI by developing high-performance algorithms for cutting-edge hardware.
As part of Qualcomm Canada ULC, you will play a critical role in enhancing machine learning technologies. Your responsibilities include analyzing ML algorithms, developing compilers, and optimizing performance across Qualcomm's hardware and software platforms. Successful candidates will have a strong background in algorithmic performance and cross-functional collaboration.
Key Responsibilities:
• Contribute to ML/AI compiler development and improvement
• Define algorithms for optimizing ML workloads
• Implement frameworks connecting PyTorch to compiler processes
• Explore performance trade-offs in hardware and software
• Run simulations and analyze for performance improvements
Requirements:
• Bachelor’s degree in relevant technical field
• Detail-oriented and strong problem-solving aptitude
• Significant experience in performance analysis
• Proficient in C++ and Python
• Understanding of network models like PyTorch is a plus
Be at the forefront of machine learning advancements with Qualcomm, where your work shapes the future of AI technologies.
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