Staff / Sr Staff / Principal Engineer - Yield & Diagnostics Engineering
QualcommJob Title
Staff / Sr Staff / Principal Engineer - Yield & Diagnostics Engineering
Role Summary
Lead the Yield & Diagnostics Engineering team in Bengaluru to improve semiconductor manufacturing yield through analysis, diagnostics, automation and data-driven solutions. Drive initiatives across yield analysis, failure analysis, DFT/scan/MBIST, manufacturing data analytics and application of AI in engineering workflows.
Experience Level
Senior. The role targets experienced engineers; the posting requests candidates with 10+ years of relevant experience for a team lead capacity.
Responsibilities
The position combines technical leadership, hands-on diagnostics and program delivery.
- Lead and mentor a team executing yield analysis and yield-improvement programs.
- Perform failure analysis and root-cause diagnostics for silicon and production issues.
- Design and validate DFT strategies including scan and MBIST adoption and improvements.
- Develop and deploy automation and data pipelines for manufacturing analytics.
- Integrate AI/ML methods into diagnostics and yield workflows to accelerate problem resolution.
- Collaborate with design, test, process and fab partners to drive corrective actions.
- Define metrics, report progress, and ensure delivery of yield objectives.
Requirements
Must-have technical skills and experience; degree requirements are summarized under Education Requirements below.
- Extensive experience in semiconductor yield analysis and yield improvement programs.
- Proven track record in failure analysis and diagnostics for complex designs.
- Strong expertise in Scan and MBIST design and DFT fundamentals; familiarity with related tools.
- Experience building automation, data analytics pipelines, and applying AI to engineering workflows.
- Practical exposure to 3D IC technologies and manufacturing interfaces is highly valued.
- Leadership experience, including team lead responsibilities and cross-functional collaboration.
- Proficiency with scripting or engineering software for data analysis and tool integration.
Education Requirements
Minimum qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field with 4+ years of hardware engineering or related work experience; OR Master's degree in those fields with 3+ years of relevant experience; OR PhD in those fields with 2+ years of relevant experience.
About the Company
Company: Qualcomm
Headquarters: San Diego, California, United States
Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.
