Instrument Control Software Engineer (Scientific Hardware)

Subsense Inc.

Mountain View (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Subsense Inc. in Mountain View, CA is seeking a Research Software Engineer, Scientific Instrumentation to build the software foundation that connects our experimental hardware, instruments, and data.

You will translate laboratory workflows into reliable software for instrument control, data acquisition, real-time visualization, and data handling. This hands-on role sits at the intersection of software, hardware, and experimental science, with ownership over tools researchers use daily and

Qualifications

  • 3+ years of relevant professional or equivalent experience.
  • Strong software engineering skills in Python and experience building production or research software.
  • Hands-on experience interfacing software with scientific instruments and data acquisition hardware.

Responsibilities

  • Build Python interfaces for lab equipment and instruments.
  • Develop applications for instrument control, data acquisition, real-time visualization, and monitoring.
  • Design reliable software for synchronized, high-throughput acquisition from multiple instruments and data streams.
  • Build data ingestion/conversion pipelines for large scientific datasets and ensure metadata consistency.
  • Collaborate with scientists to translate workflows into robust software.
  • Maintain and improve existing laboratory software and instrument interfaces.

Skills

Python programming
Software development
Instrument interfaces
Qt/PyQt
Data acquisition

Education

BS in CS/EE/Computational Science or related

Tools

ScopeFoundry
PyVisa

Job description

Subsense Inc. in Mountain View, CA is seeking a Research Software Engineer, Scientific Instrumentation to build the software foundation that connects our experimental hardware, instruments, and data.

You will translate laboratory workflows into reliable software for instrument control, data acquisition, real-time visualization, and data handling. This hands-on role sits at the intersection of software, hardware, and experimental science, with ownership over tools researchers use daily and

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