
11 - 50 funcionários
📚 Educação
🤖 Inteligência Artificial
🏥 Saúde
Education • Artificial Intelligence • Healthcare
JHU EEHPC é o Laboratório de Computação de Alto Desempenho e Eficiência Energética da Universidade Johns Hopkins, liderado por Tinoosh Mohsenin. O laboratório se concentra no design de dispositivos médicos, de saúde e vestíveis e no desenvolvimento de sistemas de computação móveis e vestíveis pequenos e energeticamente eficientes, através de abordagens de camadas cruzadas que englobam algoritmos, arquitetura, hardware e integração de sistemas. O laboratório aplica métodos de computação de alto desempenho e inteligência artificial para monitoramento de saúde inteligente, robótica, navegação autônoma e domínios relacionados, com a proposta de revolucionar os setores de saúde, transporte e serviços públicos.
🕒 Ontem
🦀 Maryland – Remoto
💵 $87.635 - $153.545 / ano
⏰ Tempo Integral
🟠 Sênior
🧑💻 Engenheiro Full-stack
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
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11 - 50 funcionários
📚 Educação
🤖 Inteligência Artificial
🏥 Saúde
Education • Artificial Intelligence • Healthcare
JHU EEHPC é o Laboratório de Computação de Alto Desempenho e Eficiência Energética da Universidade Johns Hopkins, liderado por Tinoosh Mohsenin. O laboratório se concentra no design de dispositivos médicos, de saúde e vestíveis e no desenvolvimento de sistemas de computação móveis e vestíveis pequenos e energeticamente eficientes, através de abordagens de camadas cruzadas que englobam algoritmos, arquitetura, hardware e integração de sistemas. O laboratório aplica métodos de computação de alto desempenho e inteligência artificial para monitoramento de saúde inteligente, robótica, navegação autônoma e domínios relacionados, com a proposta de revolucionar os setores de saúde, transporte e serviços públicos.
• 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 • Gather and translate business requirements into functional and technical specifications and designs • Produce deliverables based on functional specifications and designs • Maintain databases and application system code • Manage the full life cycle of large, long-term, highly complex projects and multiple projects of varying complexity • Develop broad-based solutions involving multifaceted technologies and business processes • Lead strategy, design, and architecture for solutions • Define complex business, clinical, and education problems through client meetings and document findings • Gather complex system requirements and research existing technology • Develop project plans, tasks, milestones, specifications, data structures, algorithms, and outputs • Direct, review, monitor, and mentor lower-level and junior staff • Document code and associated processes • Create, document, and execute complex test scenarios • Author and maintain technical and end-user documentation • Implement changes according to change management policies and procedures • Monitor changes, resolve complex technical problems, and provide application support • Perform other duties as assigned
• Bachelor's Degree (or foreign equivalent) in computer science, computer information systems, information technology, electronic engineering, or a related field • Six years of related experience with computer systems and applications • Additional education may substitute for required experience under the JHU equivalency formula • Experience working with Microsoft Fabric or similar cloud-based analytics and data engineering platforms • Experience designing and maintaining data pipelines in cloud environments • Experience developing and maintaining Python-based data engineering solutions • Familiarity with DevOps methodologies, version control systems, and CI/CD deployment practices • Experience implementing Infrastructure as Code (IaC) solutions • Knowledge of modern data lake, lakehouse, and data warehouse architectures • Familiarity with Microsoft Azure and related data services • Understanding of data governance, security, and data lifecycle management principles • Successful candidates subject to a pre-employment background check
• Total rewards package supporting employees' health, life, career and retirement • Seasonal flu vaccine required by Johns Hopkins University, with religious or medical exceptions • Required vaccinations for applicable positions provided at no cost in the Occupational Health office • Remote work arrangement • Monday–Friday schedule, 8:30 am–4:30 pm • Pre-employment accommodation support
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