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Remote Labview Software Engineer Jobs in Arizona

TalentForge360

Software Engineer

Phoenix, AZ · Remote

$110K - $135K/yr

Other Employee Perks Job Type: * Full-Time * Remote Compensation: * $110k - $135k DOE Required ... Software Design Engineering Communication $ 110,000.00 - 135,000.00 (US Dollar) Package Details:

Provn

Senior Software Engineer

Scottsdale, AZ · Remote

$137K - $257K/yr

Senior Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia specializes in making brands better through the power of travel. The company is a merger of three powerhouse ...

Nationwide

Consultant, Software Engineer

Scottsdale, AZ · On-site +1

OneNationwide Plaza, Columbus OH, 43215 Work schedule: 2 days in office, 3 days remote. This role ... As a Software Engineer, you will focus on mentoring and leading others to deliver high quality ...

Cisco

Senior Software Engineer (Remote)

Phoenix, AZ · Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops software using Cisco's Design Thinking Principles, with simplification and Security at its core. We use ...

INFOSYS NOVA HOLDINGS

Senior Software Engineer

Phoenix, AZ · Remote

$121K - $160K/yr

... remote data via SOAP, REST and JSON * 4+ years of experience in software development, with a focus ... , DevOps concepts Desired Qualifications: * Excellent verbal, written, and interpersonal ...

Iridium Satellite, LLC

Software Engineer III

Chandler, AZ · On-site +1

$55.50 - $74.50/hr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As a Software Engineer III, you'll independently deliver high-quality work and drive projects and ...

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Remote Labview Software Engineer information

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 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 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 Arizona?

The most popular types of Labview Software Engineer jobs in Arizona are:

What are popular job titles related to Remote Labview Software Engineer jobs in Arizona?

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

What job categories do people searching Remote Labview Software Engineer jobs in Arizona look for?

The top searched job categories for Remote Labview Software Engineer jobs in Arizona are:

What cities in Arizona are hiring for Remote Labview Software Engineer jobs?

Cities in Arizona 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 Arizona as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution.

AI Software Engineer Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$100 - $200/hr

Part-time

Posted 9 days ago

Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.