Qualcomm
Senior Staff Engineer, Machine Learning Engineering ( Agentic AI SW )
$194K–$292K
San Diego, California · On-site · Senior Staff · Full-time · Posted Oct 6, 2026
- Experience
- 6+ years with a bachelor's degree, 5+ with a master's degree, or 4+ with a PhD; preferred: at least 9 years in a relevant field. Preferred skills also specify 5+ years in several areas.
- Education
- Bachelor's, master's, or PhD in Computer Science, Engineering, Information Systems, or related field.
About the job
Leads development and optimization of embedded AI and agentic AI software and runtime systems for deploying machine-learning models on Qualcomm edge hardware.
What you'll do
- Lead end-to-end embedded AI software and runtime development, including software-hardware co-design for inference and training.
- Design, develop, profile, and optimize AI frameworks, runtime software, model-efficiency tools, compiler technologies, and inference.
- Guide AI solution design and deployment, collaborate across research, software, and hardware teams, and mentor engineers.
What they ask for
- Bachelor's degree in a related field and 6+ years of related work experience, or master's degree and 5+ years, or PhD and 4+ years.
- 5+ years of experience and excellent programming capabilities with C/C++ and Python.
- 5+ years of experience with low-level interactions between operating systems and hardware.
- 5+ years of embedded system development and optimization applied to an ML problem domain.
Nice to have
- Knowledge of model onboarding and on-device inference; familiarity with software performance and power optimization.
- Experience with the Qualcomm AI Software Stack + SDKs.
Pay
$194,400.00 - $291,600.00 (USD, base salary)
Tools
C/C++, Python, Linux, Android, QNX, Qualcomm AI Software Stack + SDKs
AI focus
Develops and optimizes on-device AI and agentic AI technologies, including model deployment, inference, training, and AI runtime software.
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