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Instrumentation Software Jobs (NOW HIRING)

AbbVie

Software Instrumentation Engineer

Madison, WI · On-site

Join the Madison Peptide Therapeutics (MPT) Engineering team as an Instrumentation Software Engineer and help shape the future of cutting-edge peptide array synthesis technology. In this role, you'll ...

AbbVie

Software Instrumentation Engineer

Madison, WI · On-site

$75K/yr

Join the Madison Peptide Therapeutics (MPT) Engineering team as an Instrumentation Software Engineer and help shape the future of cutting-edge peptide array synthesis technology. In this role, you'll ...

AbbVie

Software Instrumentation Engineer

Madison, WI

Join the Madison Peptide Therapeutics (MPT) Engineering team as an Instrumentation Software Engineer and help shape the future of cutting-edge peptide array synthesis technology. In this role, you'll ...

Electra

Senior Instrumentation Engineer

Manassas, VA · On-site

Proficiency with instrumentation software and data processing tools (e.g., MATLAB, Python, or equivalent). * Experience developing instrumentation plans and test procedures in support of CAA (FAA ...

Electra

Senior Instrumentation Engineer

Manassas, VA · On-site

Proficiency with instrumentation software and data processing tools (e.g., MATLAB, Python, or equivalent). * Experience developing instrumentation plans and test procedures in support of CAA (FAA ...

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Instrumentation Software information

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$14

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How much do instrumentation software jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for instrumentation software in the United States is $28.79, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $29.33 per hour, depending on experience, location, and employer.

What is the difference between Instrumentation Software vs Control Systems Engineer?

AspectInstrumentation SoftwareControl Systems Engineer
Required CredentialsTypically requires a degree in software engineering, computer science, or related fields; certifications in automation or software development are common.Requires a degree in electrical, mechanical, or control engineering; certifications in control systems or automation are often preferred.
Work EnvironmentPrimarily software development and testing in labs or office settings; may involve fieldwork for integration.Designing, testing, and maintaining control systems in industrial or manufacturing environments; includes on-site work.
Industry UsageUsed across industries for developing and maintaining software that interfaces with instrumentation and control hardware.Applied in designing and optimizing control processes in manufacturing, energy, and automation sectors.

While both roles involve automation and control, Instrumentation Software focuses on developing software for instrumentation systems, whereas Control Systems Engineers design and implement control processes in industrial environments. Understanding these differences helps in choosing the right career path or job search focus.

What engineers make $500,000?

Senior instrumentation engineers, especially those with extensive experience, specialized skills, and leadership roles in industries like oil and gas, aerospace, or semiconductor manufacturing, can earn salaries of $500,000 or more annually. High compensation often involves advanced certifications, working in high-demand environments, and taking on managerial or executive responsibilities.

Is instrumentation a good career?

Instrumentation involves designing, maintaining, and troubleshooting control systems and software used in industrial processes. It requires technical skills, knowledge of programming languages, and often certifications, making it a stable and in-demand field with opportunities in manufacturing, energy, and automation industries.

What engineers make $300,000 a year?

Senior instrumentation engineers, especially those with extensive experience, specialized skills in control systems, and certifications like Professional Engineer (PE), can earn $300,000 or more annually. High-paying roles are often found in industries such as oil and gas, aerospace, and manufacturing, where complex systems and advanced tools are used.

Is instrumentation in high demand?

Instrumentation software professionals are in high demand across industries such as manufacturing, energy, and automation, where precise control and data acquisition are essential. Skills in programming, control systems, and experience with tools like PLCs and SCADA systems increase employability in this field.
More about Instrumentation Software jobs
What cities are hiring for Instrumentation Software jobs? Cities with the most Instrumentation Software job openings:
What states have the most Instrumentation Software jobs? States with the most job openings for Instrumentation Software jobs include:
What job categories do people searching Instrumentation Software jobs look for? The top searched job categories for Instrumentation Software jobs are:
Instrumentation Software jobs near you

Scientific Instrumentation Software Engineer

Subsense

Palo Alto, CA • On-site

Full-time

Posted 4 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 Scientific Instrumentation Software Engineer to build the systems that connect advanced laboratory hardware, experimental workflows, and scientific data into a reliable, usable platform. In this role, you will design and develop Python-based software for instrument control, experiment orchestration, data acquisition, visualization, and desktop tools used directly by hardware, research, and data teams.
You will work at the intersection of software, hardware, and science, helping transform early laboratory prototypes into robust systems that can support repeatable experiments and scalable development. This includes building abstraction layers over vendor SDKs and device APIs, coordinating multiple instruments with precise timing and triggers, creating user interfaces for technical operators, and developing logging and validation tools that improve confidence in experimental results.
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.
  • 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.

What You'll Bring
Must Have Experience
  • Strong Python experience, especially in scientific, hardware-adjacent, or data acquisition contexts.
  • Experience building software for laboratory instruments, test systems, robotics, automation, imaging systems, embedded systems, or other hardware-integrated environments.
  • Familiarity with instrument communication and control patterns such as PyVISA/SCPI, serial communication, vendor SDKs, DAQ APIs, analog/digital I/O, TTL triggers, or hardware synchronization.
  • Experience building user interfaces for technical users, ideally with PyQt(Graph), PySide, Qt, or similar desktop GUI frameworks (e.g. ScopeFoundry).
  • Comfort working across the boundary between software, hardware, and data science, including debugging with incomplete documentation, ambiguous prototypes, and evolving system requirements.
  • Practical understanding of data acquisition, signal handling, timing, logging, metadata capture, and reproducible experiment workflows.
  • Ability to write maintainable, testable code and document systems clearly for both software and hardware collaborators.
  • Strong communication skills and ability to partner across hardware, research, data science, engineering, and product teams.
  • Self-directed, resourceful, and comfortable operating in an early-stage environment.
Nice to Have
  • Experience with NI-DAQmx, Measurement Computing, LabJack, Digilent, or similar DAQ systems.
  • Experience with NumPy, SciPy, pandas, visualization tools, and scientific data formats (zarr, hdf5, etc).
  • Familiarity with concurrency, multiprocessing, async/event-driven programming, or streaming data pipelines.
  • Experience with C++, microcontrollers, firmware, embedded Linux, or real-time control systems.
  • Experience with cameras, microscopes, optical systems, electrophysiology systems, motion stages, signal generators, oscilloscopes, or other scientific instrumentation.
  • Experience in packaging/deploying software across multiple lab machines, including systems with hardware drivers and OS-specific dependencies.
  • Location: Palo Alto, CA

$120,000 - $160,000 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.

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