
11 - 50 employees
📚 Education
🤖 Artificial Intelligence
🏥 Healthcare
Education • Artificial Intelligence • Healthcare
JHU EEHPC is the Energy Efficient High Performance Computing Lab at Johns Hopkins University, led by Tinoosh Mohsenin. The lab focuses on designing medical, health, and wearable devices and developing tiny, energy-efficient wearable and mobile computing systems through cross-layer approaches spanning algorithms, architecture, hardware, and system integration. It applies high-performance computing and artificial intelligence methods to smart health monitoring, robotics, autonomous navigation, and related domains, aiming to revolutionize healthcare, transportation, and public utilities.
🔥 15 hours ago
🦀 Maryland – Remote
💵 $75.1k - $131.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 0%
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11 - 50 employees
📚 Education
🤖 Artificial Intelligence
🏥 Healthcare
Education • Artificial Intelligence • Healthcare
JHU EEHPC is the Energy Efficient High Performance Computing Lab at Johns Hopkins University, led by Tinoosh Mohsenin. The lab focuses on designing medical, health, and wearable devices and developing tiny, energy-efficient wearable and mobile computing systems through cross-layer approaches spanning algorithms, architecture, hardware, and system integration. It applies high-performance computing and artificial intelligence methods to smart health monitoring, robotics, autonomous navigation, and related domains, aiming to revolutionize healthcare, transportation, and public utilities.
• Create, implement, maintain, monitor, support, and document departmental and enterprise-wide application systems • Install, modify, and test applications, operating systems, file structures, hardware, communication devices, and productivity tools • Analyze business, clinical, and education processes and translate requirements into functional and technical specifications • Produce software deliverables and maintain databases and application system code • Lead the full life cycle of medium to large complex projects • Gather complex system requirements and research existing technology • Develop project plans, data structures, algorithms, transformations, and application solutions • Document code, processes, tests, and technical or end-user guidance • Provide application design and development guidance to junior staff and mentor them on testing tools and technologies • Design and develop innovative integrated solutions • Create and execute complex test scenarios and validate application functionality • Implement changes under change-management policies and procedures • Monitor implementations, resolve complex problems, and provide application support
• Bachelor's Degree (or foreign equivalent) in computer science, computer information systems, information technology, electronic engineering, or a related field • Five years of related work experience with computer systems and applications • Additional education may substitute for required experience • Additional related experience may substitute for required education beyond HS Diploma/Graduation Equivalent, under the JHU equivalency formula • Knowledge of the assigned application and its platform preferred • Intermediate proficiency in Agile Methodology, Algorithms, Application Programming Interface (API), CI/CD, Cloud Serverless Computing Architecture, Code Review, Data Architecture and Design, Data Structures, Debugging, Dev Ops, JIRA, New Product Development, Secure Coding, Service Oriented Architecture, Software Design Patterns, Software Development Life Cycle, Software Engineering, and Unit Testing • Successful candidates subject to a pre-employment background check • Faculty, staff, and students must receive the seasonal flu vaccine, subject to stated exceptions
• Total rewards package supporting employees' health, life, career and retirement • Seasonal flu vaccine required, with religious or medical exceptions • Required vaccinations for applicable positions provided at no cost through Occupational Health • Workplace accommodations and accessibility support • Equal opportunity employment • Pre-employment background check process considers justice-involved backgrounds individually
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