Qualcomm
Principal Advanced Node Technology Yield & Diagnostics Engineer
$200K–$300K
San Diego, California · On-site · Principal · Full-time · Posted Oct 14, 2026
- Experience
- 10+ years (or equivalent experience) in advanced-node semiconductor yield engineering, product engineering, process integration, technology development, or yield diagnostics. The posting also lists separate ASIC experience alternatives: Bachelor's degree and 8+ years; Master's degree and 7+ years; or PhD and 6+ years.
- Education
- M.S. or Ph.D. in Electrical Engineering, Semiconductor Physics, Materials Science, or a related field. The posting also lists a Bachelor's, Master's, or PhD in Science, Engineering, or a related field.
About the job
Leads advanced-node yield learning, diagnostics, forecasting, and pre-silicon design-for-yield work to improve manufacturing readiness and yield for AI platforms using logic, HBM, chiplet, and 3DIC technologies.
What you'll do
- Lead silicon characterization, yield diagnostics, failure analysis, and root-cause investigations across wafer fabrication, test, and system validation.
- Develop yield models, forecasts, dashboards, and analytics to guide technology readiness, manufacturing ramps, and business planning.
- Partner with architecture, design, IP, foundry, and engineering teams to reduce yield risks and improve manufacturability before and after tapeout.
What they ask for
- M.S. or Ph.D. in Electrical Engineering, Semiconductor Physics, Materials Science, or a related field.
- 10+ years (or equivalent experience) in advanced-node yield engineering or related areas, with ownership of silicon bring-up, yield learning, and yield improvement.
- Hands-on experience with advanced semiconductor technology nodes (2nm, A14, or equivalent) and yield ramp activities.
- Experience with yield diagnostics, failure debugging, manufacturing data analytics, test-chip characterization, and yield modeling and forecasting.
Nice to have
- Experience with Design-for-Yield (DFY), including defect-aware design, redundancy, repair strategies, and manufacturability optimization.
- Experience applying analytics, machine learning, AI, or automation to yield analysis and manufacturing optimization.
Pay
$200,000.00 - $300,000.00 USD base salary
Tools
JMP, Yield Explorer, Python, SQL, Excel, Power BI
AI focus
Drive continuous improvement through AI/ML-based yield solutions and apply AI, machine learning, analytics, and automation to yield analysis, root-cause investigation, and manufacturing optimization.
Model-written summary · the original posting is authoritative