Qualcomm
Machine Learning Engineer, Staff (Model Optimization)
$162K–$243K
San Diego, California · On-site · Staff · Full-time · Posted Sep 17, 2026
- Experience
- Minimum: 4+ years with a bachelor’s degree, 3+ years with a master’s degree, or 2+ years with a PhD, in relevant work. Preferred experience includes 5+ years in several listed areas, 3+ years in a large matrixed organization, and 2+ years in low-level OS/hardware interactions.
- Education
- Bachelor’s, master’s, or PhD in Computer Science, Engineering, Information Systems, or related field.
About the job
Builds and optimizes machine-learning models, software frameworks, and hardware solutions for efficient AI training and inference on Qualcomm products.
What you'll do
- Extend training or runtime frameworks and model-efficiency tools with features and optimizations.
- Develop optimized software and collaborate with hardware teams on AI models deployed to hardware.
- Develop, prototype, train, and evaluate machine-learning solutions for products and customer use.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of relevant work experience; OR a master’s degree in those fields and 3+ years; OR a PhD in those fields and 2+ years.
- Relevant experience may be in Hardware Engineering, Software Engineering, Systems Engineering, or related work.
Nice to have
- Master’s degree in Computer Science, Engineering, Information Systems, or related field.
- Experience with machine-learning frameworks, embedded-system optimization, ML-suitable programming languages, statistics and probability, operating-system/hardware interactions, or technical leadership.
Pay
$162,000.00 - $243,000.00 USD base salary
Tools
Tensor Flow, Caffe, Caffe 2, Pytorch, Keras, Python, R, C++, Linux, Android, QNX
AI focus
Develop and optimize AI models, frameworks, tools, and hardware/software solutions for training and inference.
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