Sr. Machine Learning Framework, Compiler & Performance Engineer

Responsibilities

• Apply machine learning knowledge to extend training or runtime frameworks and optimize model efficiency software tools.
• Model, architect, and develop machine learning hardware co-designed with software for inference or training solutions.
• Develop optimized software to enable AI models on hardware, including machine learning kernels, compiler tools, and model efficiency tools.
• Collaborate with cross-functional teams to develop and apply machine learning techniques into products and AI solutions.
• Prototype complex machine learning algorithms, models, or frameworks aligned with product roadmaps.
• Conduct complex experiments to train and evaluate machine learning models and software independently.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 2+ years of experience in Hardware, Software, or Systems Engineering.
• Proficiency in programming languages suitable for machine learning, such as Python, C, or C++.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Experience in embedded system development.

Preferred Qualifications

• Master's degree in Computer Science, Engineering, or Information Systems.
• 2+ years of experience with frameworks such as Caffe, Caffe 2, or Keras.
• Experience in embedded system optimization applied to ML domains like NLP or multi-media.
• Strong understanding of statistics and probability (e.g., conditional probability, Bayes rule).
• Experience with low-level interactions between operating systems (Linux, Android, QNX) and hardware.
• Experience working within a large matrixed organization.

About the Company

Qualcomm is a leading technology innovator that pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future.