Full Stack Sr Test Engineer - Neuromodulation AI Specialist

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 114,000 colleagues serve people in more than 160 countries.

*This is not an active open requisition. We are building a candidate slate for a future opening.*

Job Title:  Full Stack Sr Test Engineer - Neuromodulation AI Specialist

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and 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.
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
• An excellent retirement savings plan with 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 around the world 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 a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Plano, TX location in the Neuromodulation division.

We are seeking a highly skilled and innovative Full Stack Test Engineer with expertise in neuromodulation products to join our dynamic team. In this role, you will leverage your deep product knowledge and technical acumen to revolutionize our testing processes through the integration of AI-driven solutions. You will be responsible for enhancing existing test infrastructure, developing comprehensive product use case training materials, and utilizing AI to augment testing capabilities, ultimately ensuring the delivery of high-quality neuromodulation products.

Responsibilities:

• Test Infrastructure Enhancement: Collaborate with the software engineering team to analyze and optimize existing test infrastructure, identifying areas for improvement and incorporating AI-powered tools and frameworks.
• AI Integration: Research, evaluate, and implement cutting-edge AI technologies to augment test automation, data analysis, and defect detection processes, driving efficiency and accuracy.
• Product Knowledge Training: Develop in-depth training materials and programs that equip test engineers with comprehensive knowledge of neuromodulation product features, functionalities, and use cases.
• Test Case Development: Design and implement comprehensive test cases that cover a wide range of product scenarios, leveraging AI to generate intelligent test data and identify potential edge cases.  
• Test Automation: Utilize AI algorithms to automate test execution, data collection, and result analysis, ensuring rapid feedback loops and enabling continuous testing practices.
• Defect Analysis: Collaborate with cross-functional teams to analyze defects, identify root causes, and implement corrective actions, utilizing AI to uncover patterns and trends in defect data.
• Performance Optimization: Monitor and analyze product performance metrics, leveraging AI to identify bottlenecks and optimize product behavior under various conditions.
• Documentation: Maintain detailed documentation of test strategies, procedures, results, and AI-driven insights, ensuring transparency and knowledge sharing across the team.

• Mentorship: Provide guidance and mentorship to junior test engineers, fostering a culture of continuous learning and innovation.
• Stay Current: Keep abreast of emerging trends and technologies in neuromodulation, AI, and software testing, continuously expanding your skillset and knowledge base.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in software testing, with a strong focus on full stack testing and automation.
• Proven expertise in neuromodulation products, demonstrating in-depth knowledge of features, functionalities, and use cases.
• Hands-on experience with AI technologies, such as machine learning, natural language processing, and computer vision, applied to software testing.
• Strong programming skills in Python, Java, or other relevant languages.
• Experience with test automation frameworks and tools.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Master's degree in a relevant field.
• Experience with cloud-based testing platforms.
• Experience with big data analytics and data visualization tools.
• Contributions to open-source projects or relevant communities.

Benefits:

• Competitive salary and comprehensive benefits package.
• Opportunity to work on cutting-edge technologies in a rapidly growing field.
• Collaborative and supportive work environment.
• Professional development opportunities and mentorship.

Join us in shaping the future of neuromodulation through innovative testing solutions!

Apply Now

* Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

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 and @AbbottGlobal.

The base pay for this position is $72,700.00 – $145,300.00. In specific locations, the pay range may vary from the range posted.

• software testing
• automation
• algorithms
• ai
• software engineering
• test automation
• java
• python
• computer vision
• continuous testing
• data analysis
• machine learning
• test execution
• big data analytics
• natural language processing
• performance metrics
• test case development
• data visualization
• ai integration
• defect analysis
• cloud-based testing platforms
• ai technologies
• test automation frameworks
• test cases