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Remote Component Engineer Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton, Inc.

Aerospace Engineer

Dayton, OH · On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0231883 Location: Dayton,OH,US Share job via: Share Aerospace Engineer ... one component of Booz Allen's total compensation package for employees. This posting will close ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0242669 Location: Beavercreek,OH,US Share job via: Share DevOps ... one component of Booz Allen's total compensation package for employees. This posting will close ...

Sbdinc

Senior Project Engineer, CAD

Valley City, OH · Remote

$90K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Project Engineer, CAD - Remote Engineering Operations Applications Transformation (EATO ... Create component and assembly models to support the new product development as required * Deliver ...

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Showing results 21-40

All JobsComponent Engineer JobsRemote Component Engineer JobsRemote Component Engineer Jobs in Ohio

Remote Component Engineer information

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 key skills and qualifications needed to thrive as a remote component engineer?

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.

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 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 are popular job titles related to Remote Component Engineer jobs in Ohio?

For Remote Component Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Component Engineer jobs in Ohio look for?

The top searched job categories for Remote Component Engineer jobs in Ohio are:

What cities in Ohio are hiring for Remote Component Engineer jobs?

Cities in Ohio with the most Remote Component Engineer job openings:

Remote Component Engineer jobs near you
Infographic showing various Remote Component Engineer job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Computer Vision Software Engineer, Mid

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

$69K - $158K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0242680
Location:
Dayton,OH,US
Share job via:
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Computer Vision Software Engineer, Mid
The Opportunity
Join a mission-focused engineering team building advanced computer vision (CV), multi-sensor fusion, and detection and tracking capabilities for remote sensing and GEOINT environments. As a Mid-Level Computer Vision Engineer, you will design, implement, and optimize CV algorithms and deep learning pipelines, contributing to operational systems used across national security missions. You will work closely with senior engineers while owning well-defined components of the technical solution.
What You'll Work On:
  • Develop and implement computer vision algorithms for target detection, characterization, and tracking across single- and multi-sensor data
  • Build and maintain model training, evaluation, and deployment pipelines in Python or C++
  • Apply deep learning approaches, including transformer-based architectures such as DINO, CLIP, or SAM, to image understanding problems
  • Integrate classical estimation methods, such as Kalman-family filters with modern deep learning workflows to support real-time algorithm development
  • Contribute to GPU-accelerated model development using CUDA, RAPIDS, or vendor-provided inference runtimes
  • Collaborate with multidisciplinary engineering teams to test, refine, and operationalize computer vision models for constrained compute or real-time environments
  • Support the implementation of microservice-based inference pipelines or containerized model deployments under senior guidance
  • Contribute to the architecture and implementation of novel single and multi-sensor platform detection and tracking algorithms and track fusion of targets

Join us. The world can't wait.
You Have:
  • 3+ years of experience developing computer vision algorithms for detection, tracking, or sensor-based analytics in remote sensing or GEOINT-relevant environments
  • 1+ years of experience applying deep learning to CV problems using transformer-based, self-supervised, or contrastive learning architectures, such as DINO, CLIP, or SAM
  • Experience building pipelines in Python or C++ for algorithm development, training, evaluation, or deployment
  • Experience with GPU-accelerated workflows
  • Experience with classical tracking and estimation methods, such as Kalman or extended Kalman filters, supporting real-time development needs
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience with developing synthetic modeling of Kinematic target features
  • Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach
  • Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
  • Master's degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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