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Senior Staff Engineer, Diagnostics and AI

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Datavetenskap · Artificiell intelligens

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Qualcomm seeks a Senior Staff Engineer to lead the architecture and AI-driven transformation of silicon diagnostics and yield intelligence. This role involves strategic technical leadership across design, engineering, and test teams to solve complex, cross-functional problems and develop advanced diagnostic capabilities for future technologies.

Ansvarsområden

  • Define and evolve the architecture for silicon diagnostics (scan, memory, emerging capabilities).
  • Provide technical leadership for high-volume, production-quality diagnostics.
  • Explore diagnostic and yield-intelligence approaches for advanced technologies (3D integration, AI accelerators, automotive, robotics, 6G).
  • Drive AI, agentic workflows, analytics, and automation across Diagnostics and yield workflows.
  • Connect Diagnostics, Failure Analysis, DFT, Product Engineering, Test Engineering, Design, manufacturing data, and yield learning.
  • Lead complex problems where requirements, ownership, data, or solution paths are unclear.
  • Create alignment across technical organizations and clarify interfaces.
  • Translate strategy into roadmaps, project plans, milestones, and success measures.
  • Provide global technical direction in partnership with Bangalore leadership.
  • Build a technical community across Diagnostics, AI, Automation, and partner disciplines.
  • Mentor engineers and emerging leaders in systems thinking and technical judgment.
  • Maintain a forward-looking roadmap for diagnostic systems.
  • Strengthen responsible AI adoption across YAE and PPS.
  • Advise YAE leadership on technical needs, capability gaps, and investments.
  • Communicate complex strategies, decisions, risks, and recommendations clearly to stakeholders.

Krav

  • Bachelor's degree in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience.
  • OR Master's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience.
  • OR PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience.
  • 12+ years of semiconductor engineering experience, including significant work in ATPG or memory diagnostics, DFT, silicon debug, product or test engineering, yield analysis, Failure Analysis, Design for Debug, Design for Yield, or post-silicon engineering.
  • Deep understanding of diagnostic concepts, methods, workflows, data, or infrastructure, with demonstrated ability to lead strategy or architecture for complex post-silicon capabilities.
  • Experience architecting or scaling automation, analytics, machine learning, generative AI, agentic systems, data platforms, or intelligent engineering workflows in a technically complex domain.
  • Ability to learn unfamiliar technologies quickly, identify implications for Diagnostics and yield learning, and formulate research or architecture directions.
  • Ability to understand complex systems across lifecycle and organizational boundaries, distinguish local optimization from system outcomes, and design for reuse, learning, scale, and evolution.
  • Experience defining strategy, roadmaps, and architectures and leading major initiatives spanning multiple teams or functions.
  • Demonstrated ability to build alignment, resolve unclear ownership, influence decisions, and sustain execution without relying on direct reporting authority.
  • Ability to understand stakeholders, dependencies, decision rights, operating mechanisms, capability gaps, and competing priorities, and to take responsibility for shared outcomes.
  • Experience with project plans, architecture reviews, roadmaps, metrics, risk management, decision frameworks, ownership models, and escalation paths.
  • Success framing and solving problems where requirements, approaches, data, ownership, or success criteria were initially unclear.
  • Strong partnership across Design, DFT, Product Engineering, Test Engineering, Failure Analysis, Yield Engineering, software, data, Automation, or AI.
  • Experience leading across geographic, functional, and cultural boundaries and developing technical ownership in distributed teams.
  • Demonstrated ability to mentor engineers, develop technical leaders, delegate ownership, and raise broader organizational capability.
  • Excellent written and verbal communication and the ability to present evidence-based recommendations to technical and executive audiences.
  • Ability to convert innovative ideas into working capabilities, scalable methods, or sustained practices while balancing speed, rigor, production readiness, and architectural quality.
  • Ability to connect technical communities, encourage knowledge exchange, and build shared purpose across evolving environments.

Önskade kvalifikationer

  • Bachelor's or advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or a related field.

Förmåner

  • 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.
  • Qualcomm is committed to providing an accessible process for individuals with disabilities.
  • Qualcomm is committed to making our workplace accessible for individuals with disabilities.
#Engineering#Diagnostics#AI#Silicon#Yield#Architecture#R&D#Leadership#ASIC#DFT#Failure Analysis#Automation#Data Science#Machine Learning
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Företag

Qualcomm

Publicerade jobb

för 3 dagar sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

San Diego, United States of America

Kvalifikation

Kandidatexamen

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