Qualcomm
Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW )
$194K–$292K
San Diego, California · On-site · Senior Staff · Full-time · Posted Oct 15, 2026
- Experience
- 6+ years with a bachelor’s degree; 5+ years with a master’s degree; or 4+ years with a PhD. Preferred: 5+ years with machine-learning frameworks and deep learning, and 5+ years with a programming language suitable for machine learning.
- Education
- Bachelor’s, master’s, or PhD in Computer Science, Engineering, Information Systems, or a related field.
About the job
Develop embedded AI software and machine-learning runtimes that train and fine-tune models and deploy them efficiently on Qualcomm edge hardware.
What you'll do
- Develop end-to-end embedded AI software for training and fine-tuning neural networks on Qualcomm hardware.
- Design and improve ML/AI software stacks, kernels, and runtime software for performance and power efficiency.
- Collaborate on ML operators for next-generation processors and develop debugging/profiling tools and customer SDKs.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, plus 6+ years of relevant experience; or a master’s degree plus 5+ years; or a PhD plus 4+ years.
- Strong software design, development, and debugging skills.
Nice to have
- 5+ years with machine-learning frameworks and deep learning (PyTorch), and 5+ years with a suitable programming language such as Python, C, or C++.
- Android programming, hardware-core algebraic-operation optimization, neural-network training or quantization, and Qualcomm QNN SDK.
Pay
$194,400.00 - $291,600.00 (USD; pay range, salary)
Tools
PyTorch, Python, C, C++, Qualcomm QNN SDK, Android
AI focus
On-device AI and generative AI: training and fine-tuning neural networks, optimizing models and runtimes for edge hardware, and enabling efficient deployment on Qualcomm AI processors.
Model-written summary · the original posting is authoritative