Qualcomm · 2 weeks ago
AI for Yield & Diagnostics, Senior Engineer
San Diego, CA
Full-time
Onsite
Mid, Senior Level
$116K/yr - $173K/yr
2+ years expQualcomm Technologies, Inc. is a leading technology innovator focused on enabling next-generation experiences. They are seeking a highly motivated AI for Yield & Diagnostics Senior Engineer to develop and deploy AI solutions for improving silicon yield analysis and diagnostics in semiconductor manufacturing.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
AI Strategy & Development
Design and implement AI/ML models to analyze silicon yield data and identify patterns, anomalies, and root causes of failures
Develop predictive models to forecast yield trends and proactively address potential issues
Apply deep learning and statistical techniques to improve scan diagnostic resolution and fault localization
Data Engineering & Analysiso Collaborate with test engineering teams to collect, clean, and structure large-scale test and yield datasets
Integrate data from ATE (Automated Test Equipment), DFT (Design for Test), and fab & assembly process logs for comprehensive analysis
Tool & Workflow Integration
Build scalable pipelines and tools that integrate AI models into existing diagnostic and yield analysis workflows
Work closely with EDA vendors and internal software teams to enhance tool capabilities with AI-driven features
Cross-Functional Collaboration
Partner with design, test, and manufacturing teams to understand challenges and translate them into AI solutions
Communicate findings and recommendations to stakeholders through clear visualizations and reports
Qualification
Required
Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience
OR Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience
OR PhD in Science, Engineering, or related field
Preferred
Master's or Ph.D. in Electrical Engineering, Computer Science, Data Science, or related field
Strong coding skills in Python and experience building AI-driven applications
Hands-on experience with GenAI concepts (LLMs, RAG, prompt engineering) and frameworks like LangChain
Solid foundation in data analytics and ability to learn semiconductor workflows quickly
Excellent communication skills in English; proven ability to lead technical initiatives
Strong understanding of semiconductor test methodologies, scan diagnostics, and yield analysis
Familiarity with DFT concepts, fault models, and EDA tools (e.g., Synopsys, Cadence)
Experience with AI applications in semiconductor manufacturing or test engineering
Background in deploying AI models in production environments
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package designed to support your success at work, at home, and at play
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President & CEO
I
Isaac Eteminan
CEO
Recent News
2026-01-16
2026-01-16
Company data provided by crunchbase