Magic Leap’s mission is to harmonize people and technology to create a better, more unified world. Magic Leap is a team of creatives and technologists building a personal, spatial computing platform that seamlessly blends the digital and physical worlds. Magic Leap’s healthcare team is changing the world of consumer well-being, diagnostics, and digital therapeutics, and is looking to expand its team.
As Software Engineer (Digital Health), you are responsible for developing software code that implements novel user sensing algorithms for wellness, health, and digital therapeutics applications. You work on the core user sensing service of our spatial computing platform. You will work closely with embedded algorithm and deep learning software engineers to ensure an efficient and highly robust solution.
Implement components & interfaces for a robust, real-time user perception service
Implement digital health components from applied-research phase to production code while maintaining highest standards and practices of software development
Implement security methods for user and device authentication and authorization, as well as robust encryption and other security mechanisms
Interface with other software engineers to develop features in expected quality to customers
Write elegant, maintainable, reusable code, leveraging test driven principles to develop high quality algorithms and services
Create software, review code, write documentation following medical device and HIPAA design controls
4+ year of industry experience as software developer, preferrably in health-related fields
4+ years coding & debugging of C++ (and C) including embedded/mobile environments
Strong foundations of security, interprocess communications, data structures, algorithms and software and computer architecture
Experience in software development for health, medical device and wellness a plus
Experience working in healthcare or medical device regulated (FDA, MDD, HIPAA/GDPR, cybersecurity) industry a plus
Proven ability and experience to use data to draw the right conclusions
BA/BS in CS, EE or similar required. MS. in Computer Science or related preferred
All your information will be kept confidential according to Equal Employment Opportunities guidelines.