Staff AI/ML Software Engr, Navigation

At Johnson & Johnson, we believe that health is everything, and we are looking for a visionary Staff AI/ML Software Engineer to help us redefine the future of surgical navigation. In this role, you will sit at the intersection of cutting-edge MedTech and artificial intelligence, building the intelligent systems that guide clinicians through life-changing procedures. If you are a graduate or early-career innovator who thrives on solving complex, high-stakes problems, you will have the unique opportunity to develop real-time navigation algorithms that make treatments smarter, less invasive, and more accessible to patients worldwide.

You will join a world-class team of engineers dedicated to pushing the boundaries of what is possible in healthcare technology. Your daily work will involve architecting machine learning models that process vast amounts of medical data to provide precision guidance, directly impacting patient outcomes across our Innovative Medicine and MedTech portfolios. We aren’t just looking for someone to write code; we are looking for a passionate technologist who wants to bridge the gap between AI theory and clinical reality, contributing to breakthroughs that will define the next generation of global healthcare.

This is your chance to launch your career at a company that is uniquely positioned to solve the most complex challenges in human health. You will be supported by a culture of mentorship, inclusion, and relentless curiosity, where your contributions will be felt in operating rooms across the globe. If you are ready to apply your expertise in AI and ML to save lives and transform the patient experience, we invite you to join us in building the future of healthcare—one algorithm at a time.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.