Senior Staff Engineer, Diagnostics and AI

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$174,400–$261,600 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday
Closes
Mar 17, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k
This role $218k
$155k most similar roles pay here $273k

This role pays more than 52% of similar roles. Most pay $167,500–$249,821 — the shaded band above. At the midpoint, this role pays about $218k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 605 open roles on FindRole.

Listed pay typically runs $155,400–$233,100 across 582 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Senior Staff Engineer, Diagnostics and AI

Senior Staff Engineer, Diagnostics and AI joins the Yield Architecture and Engineering organization to lead research and development for silicon diagnostics and yield intelligence. This leadership role focuses on defining architectures for scan, memory, and emerging diagnostic capabilities while driving engineering transformation through practical applications of AI, agentic workflows, analytics, and automation. The successful candidate will bridge technical gaps between Design, DFT, Product Engineering, Test Engineering, Failure Analysis, and Yield Engineering to solve complex problems in advanced 3D integration, automotive platforms, robotics, and next-generation wireless systems. Key responsibilities include developing scalable diagnostic methods, establishing production-quality standards, and creating evidence models for yield learning. The role requires expertise in ASIC design, verification, validation, and integration, alongside proficiency in machine learning, generative AI, data platforms, and automated engineering workflows to enhance silicon observability and fault isolation across the product lifecycle.

What does a Engineer earn in California?

Median $212200 from 91 postings across 27 companies.

See salary data

What you'll do

  • Define and evolve the architecture for scan, memory, and emerging silicon diagnostic capabilities.
  • Provide technical leadership to ensure high-volume, production-quality diagnostics across all product lines.
  • Drive AI-enabled engineering transformations by implementing agentic workflows, analytics, and automation in yield processes.
  • Develop evidence models that convert silicon findings into actionable learning for design, test, and manufacturing teams.
  • Lead the resolution of complex technical problems where requirements or solution paths are not yet defined.
  • Establish technical roadmaps, governance frameworks, and execution plans to align cross-functional engineering teams.
  • Provide global technical direction and mentorship to the Bangalore Diagnostics organization.
  • Build a technical community to promote reusable solutions and shared knowledge across different product lines.

What we're looking for

  • Bachelor's degree in Science or Engineering with 6+ years of ASIC experience, OR Master's with 5+ years, OR PhD with 4+ years.
  • 12+ years of semiconductor engineering experience including ATPG, memory diagnostics, DFT, silicon debug, and yield analysis (preferred).
  • Deep understanding of diagnostic concepts, methods, workflows, and infrastructure for complex post-silicon capabilities (preferred).
  • Experience architecting or scaling automation, machine learning, generative AI, or intelligent engineering workflows in complex domains (preferred).
  • Ability to lead strategy, roadmaps, and architectures while influencing cross-functional teams without direct reporting authority (preferred).
  • Proven ability to solve problems under ambiguity and manage technical governance, risk management, and project plans (preferred).
  • Experience leading across geographic, functional, and cultural boundaries in distributed teams (preferred).
  • Ability to mentor engineers and communicate complex strategies to both technical and executive audiences (preferred).

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