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Remote Labview Test Engineer Jobs in South Carolina

Third-Party Job Posts

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... Advocate for engineering best practices, quality, and test automation across our code and processes ...

Cloudbeds

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... Advocate for engineering best practices, quality, and test automation across our code and processes ...

Third-Party Job Posts

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... Advocate for engineering best practices, quality, and test automation across our code and processes ...

Third-Party Job Posts

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... Advocate for engineering best practices, quality, and test automation across our code and processes ...

Raymond

Mechanical Engineer

Greenville, SC · On-site +1

Greenville, SC / Remote (Hybrid options available) About Us: We are a progressive, forward-thinking ... Pre-employment drug test, background check, and valid driver's license required. What We Offer: We ...

Ask IT consulting

Ruby On Rails Developer

Columbia, SC · Remote

$94K - $130K/yr

Ruby On Rails Developer Location: Columbia, SC Duration: 7 months Job ID: 7510 Pay rate: 95/ Hour ... REMOTE CONTRACTOR * Test-Driven Development, Command Line, SSH, HAML, SCSS, ability to work ...

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Showing results 1-20

All JobsLabview Test Engineer JobsRemote Labview Test Engineer JobsRemote Labview Test Engineer Jobs in South Carolina

Remote Labview Test Engineer information

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

AspectRemote Labview Test EngineerRemote Electrical Test Engineer
Required SkillsLabVIEW programming, testing, automationElectrical testing, circuit analysis, instrumentation
Work EnvironmentRemote, laboratory, testing facilitiesRemote, electrical labs, manufacturing sites
CertificationsLabVIEW certification, testing standardsElectrical certifications, safety standards
Industry UsageElectronics, aerospace, automationElectronics, power systems, manufacturing

The main difference between a Remote Labview Test Engineer and a Remote Electrical Test Engineer lies in their technical focus. The Labview Test Engineer specializes in automation and testing using LabVIEW software, while the Electrical Test Engineer focuses on electrical systems and circuitry. Both roles often work remotely and require relevant certifications, but their core skills and industry applications differ.

What are popular job titles related to Remote Labview Test Engineer jobs in South Carolina?

For Remote Labview Test Engineer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Labview Test Engineer jobs in South Carolina look for?

The top searched job categories for Remote Labview Test Engineer jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Labview Test Engineer jobs?

Cities in South Carolina with the most Remote Labview Test Engineer job openings:

Remote Labview Test Engineer jobs near you
Infographic showing various Remote Labview Test Engineer job openings in South Carolina as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Software Product Engineer (Remote Opportunity)

VetsEZ

Charleston, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

We are currently looking for a Software Product Engineer for a 100% remote position on a large federal government project. This role will lead the design and development of complex systems that automate complex workflows, support data-driven decision-making, and enhance healthcare technology platforms. The ideal candidate would be a highly experienced engineer with deep expertise in designing scalable cloud-based architectures and building production-grade AI applied solutions. This role will collaborate closely with engineering teams, product stakeholders, and technical leadership to translate complex concepts into secure, reliable, and scalable solutions.
The candidate must reside within the continental US.
Responsibilities
  • Design and build event-driven, data-intensive backend services in Node.js / TypeScript, using cloud native solutions such Amazon Aurora (PostgreSQL), ECS and SQS to support AI workloads at scale.
  • Decompose complex healthcare and AI workflows into a microservices architecture - defining clear service boundaries and data ownership, designing inter-service communication across synchronous REST and asynchronous messaging (SQS/event-driven) patterns, and delivering independently deployable, loosely coupled services that scale and fail independently.
  • Drive a test-driven development (TDD) practice across the team - writing tests before implementation, maintaining strong coverage across unit, integration, and contract tests, and using the test suite to guide design, prevent regressions, and ensure the reliability of AI-enabled services in a regulated environment.
  • Develop AI pipelines that process structured and unstructured data to support intelligent decision systems.
  • Design and implement scalable AI-enabled systems and services that support mission-critical healthcare platforms.
  • Design cloud-native architectures and distributed systems that support AI-driven applications.
  • Collaborate with cross-functional teams to translate product requirements and research concepts into deployable solutions.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Requirements
  • Bachelor's degree in computer science, Software Engineering, Artificial Intelligence, or a related technical discipline.
  • 5+ years of professional software engineering experience, including significant experience designing and deploying AI-enabled systems in production environments.
  • Strong hands-on engineering experience with React and Node.js /TypeScript, building production-grade services, REST APIs, and integrations.
  • Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code, with a proven ability to leverage these tools to accelerate development, improve productivity, and enhance code quality.
  • Hands-on experience with AWS data and messaging services, to build event-driven, data-intensive services that support AI workloads.
    Experience designing and developing microservices, REST APIs, and distributed systems supporting AI workloads.
  • Demonstrated practice of test-driven development (TDD) and automated testing (unit, integration, and contract tests) to ensure reliability and maintainability of production services.
  • Experience implementing CI/CD pipelines, containerized deployments, and DevOps practices for scalable AI systems.
  • Strong problem-solving abilities and experience troubleshooting complex distributed systems.
  • Strong communication and collaboration skills with the ability to guide technical discussions and influence engineering decisions.
Additional Qualifications
  • Experience building AI solutions within regulated environments such as healthcare or federal government systems.
  • Familiarity with FHIR, HL7, or healthcare interoperability standards.
  • Experience with AI orchestration frameworks, agent-based architecture, or intelligent automation systems.
  • Experience with relational data modeling and performance tuning on PostgreSQL / Amazon Aurora.
  • Experience building asynchronous, message-driven workflows using Amazon SQS and object storage with Amazon S3.
  • Experience with container technologies such as Docker or Kubernetes.
Benefits Security Clearance Requirements
  • U.S. Citizenship is required.
  • All selected candidates must successfully complete background check.
  • Ability to obtain and maintain a government/ public Trust clearance, including required fingerprinting, when required for the position.
Benefits
  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) plus Federal Holidays.
  • Corporate Laptop.
  • Training and Professional Development Opportunities.
  • 100% Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.

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