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Senior, Software Engineer, Framework Health

Job Description

As Senior Engineer, Health Framework, you are responsible for transforming spatial health paradigms into production-level code ready to be deployed to Magic Leap devices by partners and application developers. You will be tasked with creating a spatial health framework that integrates biomarker algorithms, spatial telehealth technology, and other spatial computing methodologies, as well as work on incoming projects from external partners. You will work closely with program management, the health algorithm, systems, and regulatory teams, and the platform software team to ensure the development and implementation of an efficient and robust clinically validated framework.

Responsibilities

• Explore, design, develop, implement, and test methods, modules, and libraries to address specific needs of health and medical technology application developers.
• Design and develop the productization of biomarker algorithms and health-specific spatial computing mechanisms within the Magic Leap 1 and 2 software stack.
• Assist business segment leaders and systems engineering in capturing and understanding customer needs and translating them into system requirements.
• Coordinate closely with the systems teams to ensure production implementations that fulfill system requirements.
• Write elegant, maintainable, reusable code, leveraging test driven principles to develop high quality implementations.
• Implement and manage processes of building, releasing, and version control of spatial health platform components.
• Follow established processes to create software, review code, and write documentation according to HIPAA and medical device design controls requirements.

Qualifications

• 5+ years of industry experience as a software developer.
• 3+ years coding & debugging of C/C++.
• 3+ years of experience working in healthcare or medical device development.
• 2+ years of experience developing on mobile devices, preferably over Android.
• Knowledge of deep learning frameworks, especially TensorFlow, preferred.
• Experience using deep learning models within healthcare a plus.
• Experience creating production-level code over complex biomedical algorithms a plus.
• Strong foundations in data structures, and software and computer architecture.
• Experience in the implementation and productization of solutions for sensing, measurement and monitoring of health is a strong plus.
• Experience working in the medical device regulated industry (FDA, EU MDD/MDR, HIPAA/GDPR, cybersecurity, IEC 62304) a strong plus.
• Strong experience with software practices such as source control, testing, code review. Knowledge of git is highly desirable.

Education

• BS in Computer Science, Computer Engineering or s imilar required.

Additional Information

• All your information will be kept confidential according to Equal Employment Opportunities guidelines