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Sr. Quality Assurance Engineer – Enterprise

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Qualcomm
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Staff Quality Assurance Engineer – Enterprise Applications

Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group >
Software Applications Engineering General

Summary:

Join us in sunny San Diego for innovative and impactful software development projects. QCT Software Automation and Tools (QSWAT) is seeking a highly skilled Senior Staff Engineer, Quality Assurance to advance our quality engineering practice and bring modern approaches, deep engineering rigor, and fresh perspectives to our organization. This role extends beyond testing to shape how quality is built, measured, and sustained across the product lifecycle.

This is a senior, hands‑on engineering role for someone passionate about building next‑generation quality systems while advancing quality engineering practices in close partnership with existing tech leads and architects to scale impact across teams. The ideal candidate brings a demonstrated commitment to staying current with industry best practices in quality engineering and applying relevant, proven approaches to raise the organization’s bar.

As a senior contributor within the QA team, you will influence architecture and design decisions through engineering depth and quality expertise, partner closely with Development and Dev Ops teams, and help move quality earlier in the development process to ensure scalable, reliable, and user‑centric systems.

Key Responsibilities
Technical Strategy & Quality Engineering
  • Define and evolve quality engineering practices, including test architecture, tooling, and standards across teams.
  • Drive a shift from testing as a phase to quality as a shared responsibility embedded throughout development.
  • Evaluate and apply modern QA techniques such as contract testing, testability‑driven design, risk‑based testing, and observability‑led quality.
  • Provide technical input on automation strategies, test frameworks, and CI/CD quality gates.
  • Stay current with industry best practices, emerging tools, and modern quality engineering methods, and selectively apply proven approaches to improve quality and developer productivity.
  • Apply AI technologies across the QA lifecycle to strengthen automation, reduce noise, and accelerate quality decision‑making.
Hands‑on Engineering
  • Design, build, and maintain scalable, reliable automated test frameworks across UI, API, integration, performance, and reliability testing.
  • Improve test infrastructure and tooling through hands‑on coding, and contribute to production code when needed to improve testability and observability.
  • Lead complex test initiatives supporting large, cross‑functional features and platform‑level changes.
  • Triage and resolve systemic quality issues, flaky tests, and difficult‑to‑reproduce defects.
  • Architect and maintain production‑like test environments, including containerized and episodic environments, to support repeatable testing and efficient debugging.
  • Use AI‑assisted approaches to automate test creation and maintenance, accelerate root‑cause analysis, and generate clear, actionable quality insights and reports.
Collaboration & Influence
  • Partner closely with Software Engineers, Architects, Product Managers, and Dev Ops teams to influence design decisions early.
  • Collaborate with existing tech leads and architects to ensure testability and quality considerations are built into system design.
  • Act as a trusted advisor on quality risks, tradeoffs, and release readiness.
  • Promote consistent quality standards across geographically distributed teams.
  • Represent quality engineering perspectives in design reviews and technical discussions.
Mentorship & Culture
  • Mentor and coach QA and Software Engineers on automation, testing strategy, and a strong quality mindset.
  • Raise the technical bar through code reviews, technical discussions, and sharing best practices.
  • Support the professional growth of senior‑ and staff‑level engineers through guidance and knowledge sharing.
  • Share patterns and approaches for AI‑enabled automation, triage, and reporting to encourage consistent adoption across teams.
Minimum Qualifications:
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development…
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