Qualcomm
Low Power Analog-Mixed Signal Technologist, Senior Director
$257K–$385K
San Diego, California · On-site · Director · Full-time · Posted Sep 17, 2026
- Experience
- Qualifications state either a Ph.D. with 10+ years of relevant industry experience or an M.S. with 14+ years. Minimum qualifications separately state a bachelor's degree and 10+ years, a master's and 9+ years, or a Ph.D. and 8+ years of ASIC-related experience. Preferred: 15+ years in ASIC design and systems engineering; 15+ years in low-power analog mixed-signal; additional experience durations are listed for matrixed organizations, supervision, executive interaction, and budgets/project financials.
- Education
- Ph.D. in Electrical Engineering, Computer Engineering, or related discipline; alternatively, M.S. in those fields. Minimum qualifications also list a bachelor's, master's, or Ph.D. in Science, Engineering, or a related field.
About the job
Leads Qualcomm’s technology strategy, engineering organization, and product programs for low-power analog and mixed-signal sensing platforms and intelligent edge systems.
What you'll do
- Set technology roadmaps and oversee development and commercialization of mixed-signal, sensor, and edge-computing platforms.
- Lead large global engineering organizations and cross-functional programs, including architecture decisions, execution, and operational excellence.
- Build external partnerships and align technology investments and product strategies with customer and business needs.
What they ask for
- Proven experience leading large engineering organizations and global cross-functional teams.
- Extensive expertise in low-power analog, mixed-signal, sensor, and semiconductor system architecture.
- Demonstrated success delivering complex semiconductor products from concept to high-volume production.
- Ability to lead technology strategy, manage external partners, and influence executive and business stakeholders.
Nice to have
- Experience leading organizations in Robotics, XR, Industrial Automation, AI, or Intelligent Edge Computing.
- Deep understanding of edge AI architectures, sensor fusion, machine learning systems, and autonomous platforms.
Pay
$256,600.00 - $385,000.00 USD base salary
Tools
Analog Front Ends (AFEs), ADCs, DACs, CMOS, chiplets, system-in-package, AI, machine learning
AI focus
Leads development of edge AI platforms, AI-enabled sensor systems, intelligent edge processing, and integration of sensing technologies with AI, machine learning, and robotics software frameworks.
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