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Remote Labview Software Engineer Jobs in Lafayette, LA

micro1 AI

Bioinformatics Software Engineer

Lafayette, LA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Aggreko

Development Engineer

New Iberia, LA · Remote

From world-class events that last a few weeks to mining operations and remote communities who rely ... Uses computer assisted engineering and design software and equipment to perform engineering tasks.

Aggreko

Senior Controls Engineer

New Iberia, LA · On-site +1

$78K - $103K/yr

From world-class events that last a few weeks to mining operations and remote communities who rely ... Uses computer assisted engineering and design software and equipment to perform engineering tasks.

All JobsLabview Software Engineer JobsRemote Labview Software Engineer JobsRemote Labview Software Engineer Jobs in Lafayette, LA

Remote Labview Software Engineer information

See Lafayette, LA salary details

$60.6K

$140.9K

$196.3K

How much do remote labview software engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote labview software engineer in Lafayette, LA is $140,883.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $165,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote LabVIEW Software Engineers, and how can they be addressed?

One common challenge for Remote Labview Software Engineers is maintaining seamless communication with hardware teams, as physical access to test equipment is often limited. This can be addressed by leveraging remote desktop tools, establishing clear documentation, and scheduling regular video meetings to review system setups and test results. Additionally, collaborating closely with onsite colleagues and utilizing simulated environments can help bridge the gap when direct hardware interaction is not possible. Staying proactive in communication and troubleshooting helps ensure projects stay on track despite the distance.

What is a Remote LabVIEW Software Engineer?

A Remote LabVIEW Software Engineer is a professional who designs, develops, and maintains software applications using National Instruments' LabVIEW platform, while working remotely from any location. They create custom solutions for test, measurement, automation, and data acquisition systems, often collaborating with engineering teams virtually. The role typically involves programming in LabVIEW, troubleshooting software and hardware integration issues, and ensuring system reliability and performance. Remote LabVIEW engineers leverage communication and project management tools to effectively work with clients and teams across different locations.

What are the key skills and qualifications needed to thrive as a Remote LabVIEW Software Engineer?

To thrive as a Remote LabVIEW Software Engineer, you need strong proficiency in LabVIEW programming, a background in electrical or computer engineering, and experience with automated test systems. Familiarity with National Instruments hardware, version control systems, and certifications such as NI Certified LabVIEW Developer (CLD) are highly valued. Excellent problem-solving, self-motivation, and clear written communication skills set top candidates apart, especially when collaborating remotely. These skills are essential for delivering reliable software solutions, ensuring effective teamwork, and maintaining project timelines in distributed work environments.

What is the difference between Remote Labview Software Engineer vs Remote Test Engineer?

AspectRemote Labview Software EngineerRemote Test Engineer
Required CredentialsBachelor's in Engineering, LabVIEW certification often preferredBachelor's in Engineering or related field, certifications may vary
Work EnvironmentDevelops and tests LabVIEW applications remotely, often in R&D or automationDesigns and executes testing procedures remotely, focusing on product validation
Employer & Industry UsageElectronics, automation, aerospace, manufacturingElectronics, automotive, aerospace, manufacturing

The main difference is that Remote Labview Software Engineers focus on developing software using LabVIEW for automation and data acquisition, while Remote Test Engineers concentrate on testing and validating products remotely. Both roles require technical skills and often work in similar industries, but their core responsibilities differ.

What are the most commonly searched types of Labview Software Engineer jobs in Lafayette, LA?

The most popular types of Labview Software Engineer jobs in Lafayette, LA are:

What are popular job titles related to Remote Labview Software Engineer jobs in Lafayette, LA?

For Remote Labview Software Engineer jobs in Lafayette, LA, the most frequently searched job titles are:

What job categories do people searching Remote Labview Software Engineer jobs in Lafayette, LA look for?

The top searched job categories for Remote Labview Software Engineer jobs in Lafayette, LA are:

What cities near Lafayette, LA are hiring for Remote Labview Software Engineer jobs?

Cities near Lafayette, LA with the most Remote Labview Software Engineer job openings:

Remote Labview Software Engineer jobs near you
Infographic showing various Remote Labview Software Engineer job openings in Lafayette, LA as of July 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 100% Remote job distribution, with an average salary of $140,883 per year, or $67.7 per hour.

Bioinformatics Software Engineer

micro1 AI

Lafayette, LA • Remote

$80 - $110/hr

Part-time

Posted 12 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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