Your primary responsibility will be to contribute to the development of a software suite in Python that is responsible for data acquisition and test automation in a laboratory environment software as part of a small (4-6 member) team using an Agile workflow. Independent work will also at times be required. The ideal candidate will have experience in Python development. Ideally this Python experience would include specific experience with at least some of the following list, in decreasing order of importance: pytest, PyVISA, PyQT, pandas, matplotlib, and QtDesigner. Additional helpful but not required technical experience includes electrical systems test equipment, embedded systems development, data processing tools, and devops toolsets - see “Preferred Qualifications” section below for more details. Candidates should also have experience with agile team workflows, either through work experience or educational training. Bachelor's Degree or higher in a STEM discipline (Science, Technology, Engineering, Math) such as Electrical Engineering, Computer Engineering, Computer Science, Physics, or a similar technical discipline with 2 years of related experience or MS in a STEM discipline with 0 years of related experience. Proficiency with Python development in both object-oriented and functional contexts Experience with developing and contributing to larger scale software projects. Experience with developing software in a version-controlled environment Experience with developing unit tests Experience with agile software development methodologies. This position requires the applicant to be a U.S. citizen and the ability to obtain and maintain a clearance per business requirements. Experience with the following software tools, languages, and systems:

Python: pytest, PyVISA, PyQT, pandas, matplotlib SCPI QtDesigner C++ git, GitHub JIRA Jenkins Matlab Experience controlling such equipment via the SCPI protocol is particularly valuable Superconducting physics Conventional and unconventional analog and digital systems (low-level) Semiconductor fabrication methodologies Experience with test equipment including source meters, oscilloscopes, digital multimeters, vector network analyzers, spectrum analyzers, etc. Domain knowledge or significant interest in:

Experience with interfacing with end users to derive software requirements. Active security clearance.