Staff Software Engineer

abbott· 3205 St. Jude Medical, Cardiology Division, I
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📍 United States - Texas - PlanoFull time💰 USD 99K–199K

About this role

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Job Title

Staff Software Engineer

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

  • Career development with an international company where you can grow the career you dream of.

  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

  • An excellent retirement savings plan with a high employer contribution.

  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.

  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

 

The Opportunity  

This position works out of our Plano, Texas location in the Neuromodulation Division. Our Neuromodulation business includes implantable devices compatible with mobile technology to help people who suffer from chronic pain and movement disorders. These non-opioid therapies allow us to provide interventional pain therapy to patients throughout the pain continuum.  

For more than 135 years, Abbott has helped people around the world live fuller, healthier lives through the right combination of science and technology. We are looking for a Staff-level technical leader to architect and advance software automation, integration, and quality engineering across the full software development life cycle for safety-critical, connected medical devices.

This is a hands-on software engineering leadership role centered on scalable test automation and continuous verification—not a traditional, script-heavy QA position. You will embed quality from requirements and design through implementation, integration, release, and maintenance. You will also apply AI tools responsibly in daily engineering work, using human oversight, traceability, privacy, security, and measurable evidence to improve—not replace—engineering judgment. As a Staff Engineer, you will set technical direction, raise the engineering bar across teams, and mentor others while remaining deeply hands-on.

What you'll work on

  • Set the automation and quality strategy. Define the vision, reference architecture, and roadmap for scalable automation and continuous verification across product lines, and drive adoption as a recognized technical authority.

  • Architect lifecycle automation. Design and build reusable frameworks, services, simulators, and engineering tools that enable requirements-based and risk-based verification at the unit, component, integration, system, regression, and release levels.

  • Integrate quality into delivery. Embed automated quality controls, traceability, diagnostics, and actionable quality signals into CI/CD pipelines so teams receive rapid, reliable feedback throughout the development life cycle.

  • Engineer connected-system integration. Develop robust integration capabilities across embedded devices, clinician applications, interfaces, services, data flows, and representative hardware or simulated environments.

  • Apply AI responsibly. Incorporate Abbott’s Responsible, Safe, Transparent, Fair, and Impactful AI principles into daily automation and quality engineering. Follow established governance and intended-use boundaries; protect sensitive data; verify generated outputs; preserve source traceability; document limitations; and maintain meaningful human oversight and accountability.

  • Advance AI-enabled engineering. Use AI copilots, large language models, and agentic workflows to improve coverage analysis, automation development and maintenance, failure investigation, and engineering productivity where their use is appropriate, validated, reproducible, and auditable.

  • Lead technical quality. Partner with software, systems, quality, cybersecurity, and product teams to improve architecture, prevent defects, close coverage gaps, strengthen design reviews, and make quality measurable across programs.

  • Ensure safety, compliance, and continuous improvement. Keep automation and AI-assisted engineering aligned with applicable medical device standards, including IEC 62304, ISO 14971, ISO 13485, and 21 CFR 820. Evaluate emerging tools, measure their impact on product quality and delivery, scale proven approaches, and mentor engineers in their effective and responsible use.

Required Qualifications

  • Bachelor’s degree in computer science, Software Engineering, or a related technical field; an advanced degree is a plus.

  • 10+ years of software engineering experience with a strong focus on automation, software quality, system integration, verification, or platform and tools engineering, including technical leadership of complex initiatives.

  • Deep hands-on experience designing test automation architecture, reusable frameworks, and CI/CD-integrated quality capabilities for complex software systems.

  • Demonstrated ability to integrate quality across requirements, design, implementation, integration, release, and maintenance using risk-based coverage, traceability, and measurable evidence.

  • Strong software engineering fundamentals and proficiency in Python, with the ability to design maintainable production-grade tools, services, and automation.

  • Hands-on experience using AI copilots, large language models, or agentic workflows in daily engineering work, with disciplined validation of accuracy, security, privacy, traceability, limitations, and appropriate human oversight.

  • A track record of setting technical direction, mentoring engineers, leading design reviews, and influencing decisions across teams and product lines.

Preferred Qualifications

  • Experience in regulated, safety-critical, or high-reliability software domains such as medical devices, aerospace, automotive, or similar industries.

  • Experience with connected products, embedded systems, mobile or desktop applications, cloud services, hardware-in-the-loop environments, or device simulators.

  • Familiarity with evaluating AI-assisted engineering workflows, including output quality, hallucination and bias risks, reproducibility, explainability, and ongoing performance monitoring.

  • Strong systems thinking with an emphasis on reliability, observability, traceability, explainability, human oversight, and the ability to influence without authority.

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:  www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.

     

The base pay for this position is

$99,300.00 – $198,700.00

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:

Product Development

     

DIVISION:

NM Neuromodulation

        

LOCATION:

United States > Texas > Plano : 6901 Preston Road

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Not specified

     

MEDICAL SURVEILLANCE:

Not Applicable

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous walking for prolonged periods (more than 2 hours at a time in an 8 hour day)

     

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

     

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

     

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

Frequently Asked Questions

What is the salary for the Staff Software Engineer role at abbott?
The listed salary for this Staff Software Engineer position at abbott is USD 99K–199K. This is an Full time role.
Where is the Staff Software Engineer position at abbott located?
This Staff Software Engineer role at abbott is based in United States - Texas - Plano. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Staff Software Engineer role at abbott full-time or part-time?
This is listed as a Full time position. It is posted as a Staff Software Engineer role in the 3205 St. Jude Medical, Cardiology Division, I department at abbott.
Which team or department does the Staff Software Engineer at abbott belong to?
This Staff Software Engineer position is part of the 3205 St. Jude Medical, Cardiology Division, I department at abbott. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Staff Software Engineer position at abbott?
Click the "Apply Now" button on this page. You will be redirected to abbott's official application portal hosted on workday where you can submit your application directly.
When was the Staff Software Engineer job at abbott posted?
This Staff Software Engineer position at abbott was posted on Sep 10, 2026. Apply as soon as possible — early applications are often reviewed first.
Staff Software Engineer
abbott · 💰 USD 99K–199K
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