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Python Pyvisa Jobs (NOW HIRING)

Test Engineer

Palo Alto, CA ยท On-site

$120K - $140K/yr

Design and build Python-based software to control, coordinate, monitor, and visualize signals from ... Develop software abstraction layers over vendor SDKs, PyVISA/SCPI, serial, USB/Ethernet, DAQ ...

Software Engineer, Test Systems

Santa Clara, CA ยท On-site

$160K - $210K/yr

Experience developing Python/C++ control software interfacing with hardware. * Familiar with test automation frameworks (pytest, PyVISA, LabVIEW, etc.). * Worked with one or more of: optical ...

Able to Develop and Maintain Python based desktop GUI applications to control and monitor Automated Test Equipment (pyvisa, nidaqmx) Responsibilities: * Product Specifications: Implement innovative ...

Software Engineer, Sr

Poway, CA ยท On-site

$140K - $160K/yr

Able to Develop and Maintain Python based desktop GUI applications to control and monitor Automated Test Equipment (pyvisa, nidaqmx) Responsibilities: * Product Specifications: Implement innovative ...

Senior Hardware Engineer

Milpitas, CA ยท On-site

$128K - $171K/yr

Python scripting for test automation, instrument control (VISA/PyVISA), and data analysis * Prior experience designing or characterizing boards at mmWave frequencies (above 30 GHz) * Familiarity with ...

Software Engineer, Test Systems

Santa Clara, CA ยท On-site

$160K - $210K/yr

Experience developing Python/C++ control software interfacing with hardware. * Familiar with test automation frameworks (pytest, PyVISA, LabVIEW, etc.). * Worked with one or more of: optical ...

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Python Pyvisa information

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How much do python pyvisa jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python pyvisa in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Python Pyvisa vs Test Automation Engineer?

AspectPython PyvisaTest Automation Engineer
Required SkillsPython programming, instrument control, hardware interfacingProgramming, testing frameworks, automation tools
Work EnvironmentLaboratories, R&D, hardware testingSoftware development, testing labs, QA teams
Industry UsageElectronics, instrumentation, researchSoftware, manufacturing, quality assurance

Python Pyvisa focuses on controlling laboratory instruments via Python, often used in research and hardware testing. Test Automation Engineers develop and implement automated testing processes across software and hardware systems. While both roles involve automation and programming, Python Pyvisa is specialized in instrument control, whereas Test Automation Engineers work broadly in testing frameworks and quality assurance across industries.

What is a Python PyVISA developer?

A Python PyVISA developer is a software professional who specializes in using the PyVISA library to control and automate measurement instruments, such as oscilloscopes, multimeters, and signal generators, through Python programming. PyVISA is an open-source Python package that provides a convenient interface to communicate with instruments via GPIB, USB, Serial, Ethernet, and other interfaces following the VISA standard. Developers in this role typically write scripts or applications to acquire, process, and analyze data from laboratory instruments, often for research, testing, or manufacturing environments.

What are some common challenges faced by engineers working with Python PyVISA for instrument automation?

Engineers using Python PyVISA for instrument automation often encounter challenges such as managing communication timeouts, handling diverse instrument command sets, and troubleshooting connectivity issues with different interfaces (GPIB, USB, Ethernet). Ensuring reliable data transfer and synchronizing commands between multiple instruments can require careful coding and thorough testing. Collaborating closely with hardware teams and understanding the specific requirements of each device are key to successful automation projects.

What are the key skills and qualifications needed to thrive as a Python PyVISA Engineer, and why are they important?

To thrive as a Python PyVISA Engineer, you need strong programming skills in Python, a solid understanding of instrument control protocols (such as GPIB, USB, and serial), and relevant engineering or technical education. Familiarity with the PyVISA library, experience using laboratory instrumentation, and knowledge of test automation frameworks are typically required. Attention to detail, problem-solving ability, and effective communication help you troubleshoot issues and collaborate with multidisciplinary teams. These skills ensure reliable automation, efficient instrument integration, and accurate data collection in research and development environments.
More about Python Pyvisa jobs
What cities are hiring for Python Pyvisa jobs? Cities with the most Python Pyvisa job openings:
What states have the most Python Pyvisa jobs? States with the most job openings for Python Pyvisa jobs include:
Infographic showing various Python Pyvisa job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Test Engineer

Subsense

Palo Alto, CA โ€ข On-site

$120K - $140K/yr

Full-time

Posted 10 days ago


Job description

About Subsense
Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is to unlock direct communication between the human brain and AI - starting with medical applications such as stroke recovery and moving toward cognitive enhancement for healthy users. Headquartered in Palo Alto, Subsense brings together leading scientists and engineers to redefine the future of human-machine interaction.
The Opportunity
We are looking for a hands-on Test Engineer to help build, validate, and improve the laboratory systems, instrumentation, and test workflows that support our breakthrough neurotechnology platform.
In this role, you will work at the intersection of hardware, software, data acquisition, and experimental science. You will develop and execute test plans, build automated and semi-automated test tools, validate hardware/software behavior, troubleshoot system issues, and help ensure that experimental platforms are reliable, repeatable, and ready to support fast-moving R&D.
You will partner closely with hardware, software, research, data science, and product teams to turn early prototypes into robust, usable test systems. This includes testing instrument control software, validating data acquisition pipelines, supporting hardware/software integration, documenting system performance, and improving confidence in experimental results through structured testing and validation.
Key Responsibilities
  • Design and build Python-based software to control, coordinate, monitor, and visualize signals from sophisticated laboratory hardware.
  • Design and build desktop user interfaces and internal tools to this end
  • Develop software abstraction layers over vendor SDKs, PyVISA/SCPI, serial, USB/Ethernet, DAQ systems, analog/digital I/O, and equipment-specific APIs.
  • Implement experiment orchestration software that coordinates multiple instruments, manages timing, handles triggers, and supports synchronized data acquisition.
  • Test and validate software used to control, coordinate, monitor, and visualize signals from sophisticated laboratory hardware.
  • Work with hardware engineers to define and document hardware/software interface specifications
  • Build reliable data acquisition and logging pipelines for raw signals, instrument state, metadata, calibration information, and experimental outputs in collaboration with data scientists/engineers.
  • Manage software environments, drivers, dependencies, and deployment across laboratory computers and hardware-connected systems.
  • Write tests, simulations, and validation tools to improve reliability, maintainability, and confidence in hardware/software behavior.
  • Troubleshoot issues spanning device communication, hardware integration, data acquisition, user interfaces, and experiment workflows.
  • Partner with hardware, research, data science, and product teams to turn early prototypes into robust, usable laboratory systems.
  • Help establish engineering patterns, documentation practices, and code quality standards as the team grows.

$120,000 - $140,000 a year
Subsense is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.