Qualcomm
Embedded ML Staff Engineer -- Snapdragon Mobile
$224K–$335K
San Diego, California · On-site · Staff · Full-time · Posted Oct 18, 2026
- Experience
- 8+ years with a bachelor's degree, 7+ years with a master's degree, or 6+ years with a PhD; preferred qualifications also state 5–8 years in High-Performance Computing System Engineering or Software, with 2+ years in AI system optimization.
- Education
- Bachelor's, master's, or PhD in Computer Science, Engineering, Information Systems, or a related field.
About the job
Designs and implements Snapdragon Mobile AI architecture and on-device agentic ML features, optimizing performance, power, memory, and compute across mobile hardware.
What you'll do
- Design and implement AI feature architecture, prototypes, and on-device agentic components for Snapdragon Mobile.
- Build telemetry-driven scheduling and manage LLM/SLM memory and model state across CPU, GPU, and NPU.
- Contribute to design reviews, collaborate with partners, and advise roadmap discussions with technical analysis.
What they ask for
- Bachelor's degree in a related field and 8+ years of relevant experience, or master's and 7+ years, or PhD and 6+ years.
- Experience in Hardware Engineering, Software Engineering, Systems Engineering, or related work.
- Strong written and verbal communication skills.
Nice to have
- Experience with mobile software design/deployment, system performance optimization, benchmarking, and AI domains such as Computer Vision, Audio, or Generative AI.
- Experience with agentic AI, LLMs/SLMs, embedded ML, and heterogeneous compute on resource-constrained devices.
Pay
$223,600.00 - $335,400.00 USD base salary
Tools
Snapdragon Mobile, CPU, GPU, NPU, TensorFlow, PyTorch, C, C++
AI focus
On-device agentic AI and embedded ML, including LLM/SLM deployment, context and memory management, perception pipelines, heterogeneous compute scheduling, and performance/power optimization.
Model-written summary · the original posting is authoritative