Staff Software Engineer - AI-Driven Quality & Automation Lead

Thornton Tomasetti

Plano (TX)

Hybrid

USD 99,000 - 199,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Retirement plan
Tuition reimbursement

Job summary

Abbott, a global healthcare leader, seeks a Staff Software Engineer in Plano, TX, to architect scalable automation and quality across the software life cycle for safety-critical medical devices. You will lead hands-on technical efforts, mentor teams, and integrate AI responsibly into engineering workflows while maintaining traceability and human oversight.

The role emphasizes designing reusable automation frameworks, embedding quality into CI/CD, and advancing AI-enabled engineering with

Qualifications

  • Bachelor’s degree in computer science, software engineering, or related field.
  • 10+ years of software engineering with automation, quality, or verification focus.
  • Hands-on experience designing test automation architectures and CI/CD-integrated quality.

Responsibilities

  • Set the automation and quality strategy across product lines.
  • Architect lifecycle automation with reusable frameworks and tools.
  • Integrate automated quality controls into CI/CD pipelines for rapid feedback.
  • Engineer connected-system integration across devices and interfaces.
  • Apply AI responsibly following governance, privacy, and oversight requirements.
  • Advance AI-enabled engineering with copilots, LLMs, and agentic workflows.
  • Lead technical quality by collaborating with cross-functional teams.

Skills

Python
Test automation
CI/CD
Software quality
Leadership
AI copilots
Embedded systems

Education

Bachelor's degree
Advanced degree

Tools

CI/CD pipelines

Job description

Abbott, a global healthcare leader, seeks a Staff Software Engineer in Plano, TX, to architect scalable automation and quality across the software life cycle for safety-critical medical devices. You will lead hands-on technical efforts, mentor teams, and integrate AI responsibly into engineering workflows while maintaining traceability and human oversight.

The role emphasizes designing reusable automation frameworks, embedding quality into CI/CD, and advancing AI-enabled engineering with

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