Staff Software Engineer

Abbott

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Plano, TX
Salary
$99,300–$198,700 / yr
Employment
Full-time
Posted
22 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $149k
$80k most similar roles pay here $284k

This role pays less than 97% of similar roles. Most pay $186,975–$246,000 — the shaded band above. At the midpoint, this role pays about $149k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Abbott

Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices

Abbott currently has 126 open roles on FindRole.

Listed pay typically runs $88,350–$176,650 across 100 roles with salary data.

Most-posted roles

View all roles at Abbott

At a glance

TL;DR · Staff Software Engineer

Staff Software Engineer The Staff Software Engineer joins the Neuromodulation Division to serve as a technical leader focused on architecting and advancing software automation, integration, and quality engineering for safety-critical, connected medical devices. This hands-on leadership role involves defining the vision for scalable test automation, building reusable frameworks, and integrating automated quality controls into CI/CD pipelines. The engineer will develop robust integration capabilities across embedded devices, clinician applications, and data flows while responsibly incorporating AI tools like large language models and agentic workflows to improve engineering productivity. Key responsibilities include mentoring others, setting technical direction, and ensuring compliance with medical device standards such as IEC 62304 and ISO 13485. The role requires proficiency in Python and extensive experience in software quality, system integration, and verification for complex systems within the high-reliability medical device domain.

What does a Software Engineer earn in Texas?

Median $174200 from 133 postings across 36 companies.

See salary data

What you'll do

  • Define and lead the vision, reference architecture, and roadmap for scalable automation and continuous verification across product lines.
  • Design and build reusable frameworks, services, and simulators to enable risk-based verification at all development levels.
  • Integrate automated quality controls, traceability, and actionable signals into CI/CD pipelines for rapid developer feedback.
  • Develop robust integration capabilities across embedded devices, clinician applications, data flows, and simulated hardware environments.
  • Implement AI tools and agentic workflows responsibly to improve coverage analysis, automation maintenance, and engineering productivity.
  • Partner with cross-functional teams to improve system architecture, prevent defects, and ensure measurable quality across programs.
  • Ensure all automation and AI-assisted engineering complies with medical device standards such as IEC 62304 and ISO 13485.
  • Mentor engineers and provide technical leadership to raise the engineering bar across multiple teams and product lines.

What we're looking for

  • Bachelor’s degree in computer science, Software Engineering, or a related technical field; an advanced degree is preferred.
  • 10+ years of software engineering experience with a focus on automation, quality, system integration, and technical leadership.
  • Deep hands-on experience designing test automation architecture, reusable frameworks, and CI/CD-integrated quality capabilities for complex systems.
  • Demonstrated ability to integrate quality across the full lifecycle using risk-based coverage, traceability, and measurable evidence.
  • Proficiency in Python and strong software engineering fundamentals to design maintainable production-grade tools and services.
  • Hands-on experience using AI copilots, large language models, or agentic workflows with disciplined validation of accuracy and security.
  • Proven track record of setting technical direction, mentoring engineers, leading design reviews, and influencing cross-team decisions.
  • Experience in regulated industries (medical devices, aerospace, automotive) or with connected products and embedded systems (preferred).

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