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Software Engineer

Cambridge, MA

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) was established on December 21, 2017. It is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-part companies to win. UII America, Inc. is building a world-class research and development team in Cambridge, MA. We are looking for a talented and passionate software engineer who can help our software design, architecture and develop our software service and solutions which revolutionize future Healthcare. The successful candidate will approach technical challenges enthusiastically and exhibit a strong desire to learn and apply new technologies to accomplish the assigned tasks.

Main Responsibilities

  1. Develop high-quality software and algorithm;
  2. Continuously evolve and improve architecture, performance of the software and applications;
  3. Drive software development through the full product development lifecycle;
  4. Establish engineering best practices to build a scalable and clean code structure;
  5. Collaborate with other team members and contribute to a nice team-working environment;
  6. Be ambitious to lead the changes in future Healthcare with innovations.

Qualification Requirements

  1. BS/MS Degree in Computer Science, Computer Engineering or related field;
  2. Strong programming skills and abilities, especially in C++ and Python;
  3. Experience with standard software development practices and tools;
  4. Demonstrated problem solving, self-motivating, and critical thinking skills;
  5. Knowledge and experience in the following areas is a plus: Medical Imaging, Machine Learning, or Computer Vision.

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