Software Intern

Primary Location: United States-Tennessee-Rockford
Division Description:

At Siemens Healthineers, we are passionate about enabling healthcare professionals to deliver high quality patient care, and to do so affordably. A leading global healthcare company, Siemens Healthineers continues to strengthen our portfolio of medical imaging and laboratory diagnostics, while adding new offerings such as managed services, consulting, and healthcare IT services as well as further technologies in the growing market for therapeutic and molecular diagnostics.

Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence they need to meet the clinical, operational and financial challenges of a changing healthcare landscape.

Job Description:

Siemens Healthineers Molecular Imaging, a $1 Billion Business Unit within Siemens Medical Solutions US, has an opening for a Software Engineer at our Rockford, TN location. We are a high-technology business leading the change towards personalized medicine. The selected candidate will join the Detector Center Research & Development department, responsible for the development and lifecycle of the current product and next generation of Molecular Imaging PET Detectors. The successful candidate will work closely with senior technical personnel in testing and documenting software for data analysis, acquisition and processing.

The student will apply technical education and experience while working with detector scientists to develop software, conduct testing and data analysis; in addition to providing improvement recommendations based on observation and learning.

Technical experience to be applied during internship:

Linux and C/C++ programming

Python, particularly Scientific Python (SciPy) or Numerical Python (NumPy)

Interest or experience with FPGA programming would also be desirable.

Task documentation experience to be applied during internship:

Proficient in software development documentation including: concept records, implementation instructions and data analysis.

Presenting data to the scientific staff and creating a written report.

Duration: Spring 2019 through Summer 2019

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