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Embedded Software Verification Engineer Jobs in West Virginia

General Atomics

Software Developer II

Aurora, WV · On-site

GA Intelligence is looking for a Cleared Software Engineer to join our Solutions Intelligence ... Develop test scripts and frameworks to verify functionality and produce high quality software ...

Form Energy

Senior Manufacturing Test Engineer

Weirton, WV · On-site

  • Medical

  • Dental

  • Vision

  • PTO

The ideal candidate is equally comfortable developing software, integrating instrumentation ... Experience with industrial and embedded communication protocols such as CAN, Modbus, Ethernet-based ...

Pax8

Software Engineer, Labs

Charleston, WV · On-site +1

$113K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

🚀 Senior Full-Stack Engineer, Labs - United States | Pax8 Build pioneering humanAI interfaces at ... By applying, you acknowledge that we take steps to verify identity and representation during hiring.

LTS

Senior Front-End Agentic AI Engineer

Charleston, WV · Remote

$113K - $155K/yr

We don't simply build AI-powered software--we build software with AI. This is not another chatbot ... Build and maintain conversational interfaces, embedded AI assistants, review workflows, and ...

Pax8

Software Engineer, Labs

Charleston, WV · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

External Job Advert 🚀 Senior Full-Stack Engineer, Labs - United States | Pax8 Build pioneering ... By applying, you acknowledge that we take steps to verify identity and representation during hiring.

Nucor

AI Solutions Engineer

Apple Grove, WV · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Embedded with our divisions, this high-visibility role combines strong engineering skills, systems ... such as Solutions Engineer, Software Engineer, Systems Analyst, or Technical Consultant.

Form Energy

Staff Manufacturing Test Engineer

Weirton, WV · On-site

  • Medical

  • Dental

  • Vision

  • PTO

The ideal candidate is equally comfortable developing software, integrating instrumentation ... Experience with industrial and embedded communication protocols such as CAN, Modbus, Ethernet-based ...

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Showing results 21-40

All JobsEmbedded Software Verification Engineer JobsEmbedded Software Verification Engineer Jobs in West Virginia

Embedded Software Verification Engineer information

What are the key skills and qualifications needed to thrive as an embedded software verification engineer?

To thrive as an Embedded Software Verification Engineer, a strong background in embedded systems, programming (C/C++), and software testing methodologies is essential, typically supported by a degree in computer science, electrical engineering, or a related field. Familiarity with tools such as MATLAB/Simulink, debuggers, oscilloscopes, and verification frameworks, as well as certifications like ISTQB, are commonly required. Attention to detail, problem-solving abilities, and effective communication help engineers identify issues and work collaboratively in cross-functional teams. These skills ensure the development of reliable, safe, and high-quality embedded systems in safety-critical industries.

What is the difference between Embedded Software Verification Engineer vs Embedded Software Developer?

AspectEmbedded Software Verification EngineerEmbedded Software Developer
Primary FocusVerifying and validating embedded software to ensure quality and reliabilityDesigning, coding, and implementing embedded software solutions
Skills & CertificationsKnowledge of testing tools, verification processes, embedded systems, certifications like ISTQBProficiency in programming languages (C, C++), embedded systems, software development certifications
Work EnvironmentTesting labs, development teams, quality assurance departmentsDevelopment teams, R&D labs, product engineering

While both roles require embedded systems knowledge and programming skills, the Embedded Software Verification Engineer primarily focuses on testing, validation, and ensuring software quality, whereas the Embedded Software Developer concentrates on creating and implementing embedded software solutions.

What are some common challenges faced by embedded software verification engineers during the validation process?

Embedded Software Verification Engineers often encounter challenges such as limited hardware availability, rapidly changing requirements, and integration issues with multiple hardware and software components. Debugging in an embedded environment can be more complex due to constrained system resources and limited visibility into the hardware-software interactions. Collaborating closely with both hardware and firmware teams is essential to quickly identify and resolve defects, making strong communication and problem-solving skills crucial for success in this role.

What does an embedded software verification engineer do?

An Embedded Software Verification Engineer is responsible for ensuring that embedded software systems function correctly and meet design requirements. They create and execute tests, analyze results, and identify software defects in embedded systems such as automotive controllers, medical devices, or consumer electronics. This role typically involves working closely with software developers and hardware engineers to review code, develop test plans, and use debugging tools to validate the software’s functionality, performance, and safety. Their work is crucial for delivering reliable products that operate safely and efficiently in real-world environments.

What are popular job titles related to Embedded Software Verification Engineer jobs in West Virginia?

For Embedded Software Verification Engineer jobs in West Virginia, the most frequently searched job titles are:

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What cities in West Virginia are hiring for Embedded Software Verification Engineer jobs?

Cities in West Virginia with the most Embedded Software Verification Engineer job openings:

Embedded Software Verification Engineer jobs near you

Senior Engineer, Software Systems (R4903)

Shield AI

Charleston, WV • On-site

$110K - $170K/yr

Full-time

Re-posted 13 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
We are seeking a skilled Systems Engineer to join the Hivemind Solutions Systems Engineering team. In this role, the candidate will support the design, development, integration, and validation of complex systems leveraging the Hivemind autonomy software. This role requires a strong foundation in systems thinking, cross-functional collaboration, and the ability to translate stakeholder needs into robust technical solutions.
What you'll do:
  • Define, analyze, and manage system requirements, ensuring traceability and alignment with mission objectives
  • Develop system architectures and perform trade studies to balance performance, cost, and risk
  • Coordinate and manage interfaces across hardware, software, and external systems
  • Support system integration, verification, and validation activities, including test planning and execution
  • Identify technical risks and develop mitigation strategies throughout the system lifecycle
Required qualifications:
  • A minimum of 5 years of systems engineering or related experience with a Bachelor’s degree; or 4 years and a Master’s Degree; or 2 years with a PhD; or equivalent work experience
  • B.S. degree in a STEM discipline (e.g. Software, Aerospace, Mechanical, Electrical, Systems Engineering)
  • Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements
  • Experience with MBSE and related efforts
  • Experience working in cross-functional teams
  • Excellent communication skills, both written and verbally
  • Organized and methodical
  • Software engineer experience in C++ and/or Python
  • Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics
  • Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
  • The ability to obtain and maintain a US Security Clearance. US Citizenship is required as only US citizens are eligible for a security clearance
Preferred qualifications:
  • Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL)
  • Expertise with Requirement & Design decomposition
  • Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles
#LI-DM2
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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.