This role pays less than
98%
of similar roles. Most pay
$150,000–$195,818
— the shaded band above.
At the midpoint, this role pays about
$117k
versus about
$173k
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
103 open roles
on FindRole.
Listed pay typically runs
$94,650–$189,350
across 82 roles with salary data.
As a Senior Software Engineer in the Neuromodulation division, you will develop software for connected Class III implantable medical-device systems, including spinal cord stimulation and deep brain stimulation technologies to treat chronic pain and movement disorders. You will build end-to-end product capabilities by designing and maintaining full-stack features across clinician-facing user experiences, mobile applications, backend services, and device-facing integrations. Your daily work involves developing with Angular, TypeScript, C#, .NET, C, and C++ while utilizing AI-enabled engineering tools to enhance development capacity. You will manage the full lifecycle of features, ensuring high quality in an IEC 62304 Class C environment through automated testing, CI/CD pipelines, and risk-based thinking. The role requires integrating complex data flows between mobile components, embedded firmware, and cloud capabilities to solve critical medical challenges within a regulated, safety-critical product space.
What does a Software Engineer earn in Texas?
Median $177502 from 130 postings across 36 companies.
Develop full-stack software for connected neuromodulation products using Angular, TypeScript, C#, .NET, C, and C++.
Design and implement features across clinician-facing interfaces, mobile applications, backend services, and device-facing integrations.
Translate clinical and risk-management requirements into technical designs and production code for Class III medical devices.
Write secure, maintainable code in an IEC 62304 Class C environment with high automated test coverage.
Integrate data flows between mobile components, backend services, embedded firmware, and cloud capabilities.
Utilize AI-enabled tools to accelerate design exploration, debugging, documentation, and automated verification processes.
Ensure all AI-generated outputs follow corporate safety guidelines and maintain human accountability for final results.
Resolve complex integration issues across multidisciplinary teams including hardware, software, and regulatory functions.
What we're looking for
Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related engineering discipline; a master's degree is preferred.
5+ years of professional software development experience delivering reliable applications or connected products.
Experience using AI-enabled development tools to increase engineering capacity and software quality.
Full stack development experience with C#, .NET, Angular, TypeScript/JavaScript, HTML, and CSS.
Working knowledge of at least one additional language such as C, C++, Java, or Python for embedded integration or troubleshooting.
Proficiency in computer science fundamentals including data structures, algorithms, object-oriented design, multithreading, and secure coding.
Experience with mobile/connected platforms using RESTful or gRPC services, Git, and automated CI/CD pipelines.
Experience with regulated medical devices (Class III), IEC 62304, ISO 14971, or other safety-critical systems (preferred).
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