Software Engineering Manager

We anticipate the application window for this opening will close on - 13 Aug 2026   Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life Across our global Neuroscience organization, we advance care for some of medicine’s most complex neurological and spinal conditions. By combining innovative technology, data-driven insights, and deep clinical expertise, we partner with physicians and health systems to improve how patients are treated and supported throughout their care journey. Our Cranial & Spinal Technologies (CST) Operating Unit develops and delivers an integrated ecosystem of spinal implants, navigation and robotic guidance systems, advanced imaging, and data-driven planning tools for complex spine and cranial procedures. Platforms such as AiBLE™ connect these technologies to enhance surgical precision, streamline workflows, and support improved patient outcomes worldwide. Check us out on LinkedIn: Medtronic CST                     Cross-functional product leadership: Partner with R&D, quality, regulatory, product management, systems engineering, and program teams to align software development priorities with product development initiatives and business objectives. Talent acquisition and onboarding: Recruit, hire, and onboard software engineering talent with strong technical depth, sound engineering judgment, and practical experience applying AI-assisted development tools in professional software environments. Team development: Coach and develop reporting staff through regular feedback, career planning, technical mentorship, and opportunities to build modern software engineering capabilities, including responsible use of AI-enabled tools. Extended workforce leadership: Recruit, engage, and direct third-party and contractor resources as needed, ensuring external contributors follow software development, quality, cybersecurity, and documentation expectations. Engineering execution and strategy: Lead and mentor software engineers to deliver strong organizational performance, grow individual capability, and advance the team’s technical strategy across architecture, development practices, automation, and delivery excellence. Process maturity and quality: Improve software development processes and quality metrics in partnership with R&D leadership to meet customer expectations for reliability, safety, cybersecurity, maintainability, and system performance. Customer and field issue resolution: Analyze, diagnose, and resolve customer problem reports in close collaboration with product support, quality, systems, and sustaining engineering teams. AI-assisted engineering practices: Establish practical guidance for using AI-enabled development tools such as GitHub Copilot, Claude, OpenAI-based solutions, and similar model-driven capabilities to support code generation, refactoring, test creation, documentation, troubleshooting, and engineering productivity. Local LLM enablement: Evaluate and apply local or privately hosted large language models where appropriate to support secure engineering workflows, protect sensitive intellectual property, reduce external data exposure, and enable experimentation within approved cybersecurity and compliance boundaries. Responsibilities may include the following and other duties may be assigned. May develop, evaluate, implement and maintain technical quality assurance and control systems. May establish software reliability mechanisms and standards for company products. Oversees the investigation and evaluation of existing technologies. Guides