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Remote Component Engineer Jobs in Virginia (NOW HIRING)

Ad Hoc

Software Engineer II - Front End

Mclean, VA · Remote

Software Engineer II - Front End Job number: 856 This is a remote position. Ad Hoc is a technology ... Contribute to Design System component development, helping maintain consistency across program ...

Maximus

Mobile Devices Engineer

VA · On-site +1

This role is remote. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code ... Annual salary is just one component of Maximus's total compensation package. Other rewards may ...

Booz Allen Hamilton, Inc.

Systems Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Yes Job Number: R0243458 Location: Arlington,VA,US Share job via: Share Additional ... one component of Booz Allen's total compensation package for employees. This posting will close ...

Maximus

Database Engineer

VA · On-site +1

General information Job Posting Title Database Engineer Date Tuesday, June 9, 2026 City Remote ... Annual salary is just one component of Maximus's total compensation package. Other rewards may ...

Booz Allen Hamilton, Inc.

Test Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: Yes Job Number: R0243002 Location: McLean,VA,US Share job via: Share Test Engineer The ... one component of Booz Allen's total compensation package for employees. This posting will close ...

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All JobsComponent Engineer JobsRemote Component Engineer JobsRemote Component Engineer Jobs in Virginia

Remote Component Engineer information

How does a Remote Component Engineer typically collaborate with cross-functional teams to ensure component integration and quality?

As a Remote Component Engineer, you will frequently work with design, manufacturing, and quality assurance teams to ensure that electronic or mechanical components meet project requirements. Collaboration often involves virtual meetings, sharing detailed specifications, and reviewing test results to address integration issues. You'll use digital collaboration tools to communicate updates, resolve technical challenges, and coordinate on design changes, making strong remote communication skills essential. This collaborative workflow ensures components are delivered on time and meet the necessary standards for performance and reliability.

What are the key skills and qualifications needed to thrive as a Remote Component Engineer, and why are they important?

To thrive as a Remote Component Engineer, you need a solid background in electronics, component selection, and circuit design, often supported by a degree in electrical engineering or a related field. Proficiency with CAD tools like Altium Designer or OrCAD, familiarity with ERP systems, and knowledge of industry standards are typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills set standout candidates apart. These skills ensure reliable component choices, efficient collaboration with global teams, and successful project outcomes in distributed engineering environments.

What is the difference between Remote Component Engineer vs Remote PCB Designer?

AspectRemote Component EngineerRemote PCB Designer
Required CredentialsBachelor's in Electrical Engineering or related, certifications like IPC or EE licensesBachelor's in Electrical Engineering, Electronics, or related; certifications like IPC Designer Certification
Work EnvironmentDesigning and selecting electronic components, collaborating with engineers remotelyCreating PCB layouts, schematic design, and routing remotely
Industry UsageElectronics manufacturing, aerospace, consumer electronicsElectronics, telecommunications, consumer device design
Common Search/ComparisonYesYes

The Remote Component Engineer focuses on selecting and integrating electronic components into designs, ensuring compatibility and performance. In contrast, the Remote PCB Designer specializes in creating the physical layout of printed circuit boards. Both roles require electrical engineering knowledge and often collaborate remotely within electronics industries, but their core responsibilities differ in component selection versus PCB layout design.

What is a Remote Component Engineer?

A Remote Component Engineer is a professional who specializes in designing, selecting, and managing electronic or mechanical components for products or systems, while working remotely. Their responsibilities often include evaluating component quality, ensuring compatibility, and collaborating with cross-functional teams to support product development. Remote Component Engineers utilize digital tools and communication platforms to perform their duties from a location outside of the traditional office. This role is common in industries such as electronics, manufacturing, and technology, where global collaboration is essential. The position requires strong technical knowledge, analytical skills, and the ability to work independently.
What are the most commonly searched types of Component Engineer jobs in Virginia? The most popular types of Component Engineer jobs in Virginia are:
What are popular job titles related to Remote Component Engineer jobs in Virginia? For Remote Component Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Component Engineer jobs in Virginia look for? The top searched job categories for Remote Component Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Component Engineer jobs? Cities in Virginia with the most Remote Component Engineer job openings:
Remote Component Engineer jobs near you
AI Software Engineer (Remote)

AI Software Engineer (Remote)

Knexus Research Corporation

Vienna, VA • Remote

Full-time

Re-posted 2 days ago

Job description

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Standard Time (EST) zone. You will be instrumental in the entire software development lifecycle, from initial design to final delivery, creating AI-powered software products that aid military commanders and business leaders in making mission-critical decisions. The ideal candidate will have exceptional algorithmic and problem-solving skills, and a strong background in software engineering, enabling them to make an immediate impact on our projects. We are committed to providing you with the necessary tools and training to produce world-class software.

Responsibilities

  • Collaborative Design & Implementation: You will collaboratively design, implement, and test AI enabled software systems. This role involves leveraging cutting-edge technologies, including GenAI and machine learning models.
  • Modular Systems Development: Develop modular systems within a distributed architecture, such as with RESTful containerized microservices.
  • Performance Optimization: Review and analyze software runtime performance, making algorithmic and performance improvements.
  • Agile Development: Use agile development techniques throughout the project lifecycle.

Qualifications and Experience

  • Experience: 6-8 years of experience in software development, including design, coding, testing, and delivery.
  • Core Skills: You should have mastery in object-oriented design and programming, as well as knowledge of design patterns and algorithmic analysis.
  • Programming Languages: Proficiency in Python is a must, experience with other languages such as JavaScript, TypeScript, or C++ is useful but not critical.
  • GenAI: Experience building applications leveraging LLMs as a core component
  • Work Environment: Experience working in a small, remote team environment is preferred.
  • Government Clearance: You must be a U.S. citizen and eligible for a government security clearance (Secret Clearance).

Bonus Experience

  • AI/ML: Exposure to AI and/or Machine Learning technologies is a plus.
  • Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued.
  • Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with VertexAI.
  • Technical Familiarity: Familiarity with technologies such as Docker, Node, and REST APIs is a bonus. Experience with database systems such as Firebase and PostgreSQL.

About Knexus

At Knexus Research, we are at the forefront of AI development for the government, with a mission to revolutionize how government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ahead of the curve. Our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.

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