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Remote Mechanical Engineering Trainee Jobs in Ohio

Leidos

Senior Transmission Line Engineer

Cleveland, OH · On-site +1

Fully REMOTE positions are available for qualified candidates.Relocation assistance will be ... Bachelor's in Civil, preferred, or Mechanical Engineering with four plus (4 +) years of relevant ...

Leidos

Senior Transmission Line Engineer

Akron, OH · On-site +1

Fully REMOTE positions are available for qualified candidates.Relocation assistance will be ... Bachelor's in Civil, preferred, or Mechanical Engineering with four plus (4 +) years of relevant ...

Leidos

Senior Transmission Line Engineer

Columbus, OH · On-site +1

Fully REMOTE positions are available for qualified candidates.Relocation assistance will be ... Bachelor's in Civil, preferred, or Mechanical Engineering with four plus (4 +) years of relevant ...

USA Firmware

Mid-Level PCB Designer

Brecksville, OH · On-site +1

... mechanical engineers to develop complex printed circuit boards for innovative products across ... remote work flexibility Opportunity to work on cutting-edge embedded products Collaborative ...

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Remote Mechanical Engineering Trainee information

What is a remote mechanical engineering trainee?

Remote Mechanical Engineering Trainees are entry-level professionals who learn and assist with mechanical engineering tasks while working from a remote location, rather than on-site. They typically support senior engineers by performing design calculations, drafting technical drawings, conducting simulations, and participating in virtual team meetings. The role is ideal for recent graduates or students seeking practical experience in mechanical engineering while benefiting from the flexibility of remote work. Trainees use digital collaboration tools and engineering software to complete their assignments and communicate effectively with their teams.

What are the key skills and qualifications needed to thrive as a remote mechanical engineering trainee?

To thrive as a Remote Mechanical Engineering Trainee, you need a solid grounding in mechanical engineering principles, analytical problem-solving, and a relevant degree or coursework. Familiarity with CAD software (like SolidWorks or AutoCAD), simulation tools, and collaboration platforms (such as Microsoft Teams or Slack) is typically required. Strong communication, self-motivation, and time management skills help you stand out when working independently and in virtual teams. These abilities are crucial for effectively contributing to remote engineering projects, meeting deadlines, and collaborating across distributed teams.

What are some common challenges faced by remote mechanical engineering trainees, and how can they be addressed?

Remote mechanical engineering trainees often face challenges such as limited hands-on experience with physical prototypes and machinery, as well as difficulties in collaborating with team members across different time zones. To address these challenges, trainees are encouraged to leverage virtual simulation tools, participate in regular video meetings, and maintain open communication with mentors and peers. Taking initiative to ask questions and seeking feedback can also help bridge the gap in remote learning environments, ensuring skill development and effective teamwork.

What is the difference between Remote Mechanical Engineering Trainee vs Remote Mechanical Design Engineer?

AspectRemote Mechanical Engineering TraineeRemote Mechanical Design Engineer
QualificationsEnrolled in or recent graduate of mechanical engineering programBachelor's or higher in mechanical engineering, relevant certifications
Work EnvironmentTraining programs, supervised tasks, entry-level projectsDesign development, CAD modeling, project execution
ResponsibilitiesLearning, assisting in projects, gaining practical experienceCreating designs, analyzing prototypes, collaborating with teams

The main difference is that a Remote Mechanical Engineering Trainee is an entry-level position focused on learning and gaining experience, while a Remote Mechanical Design Engineer is a more experienced role responsible for designing and developing mechanical components. Trainees typically work under supervision, whereas Design Engineers handle independent project tasks.

Is it possible to work remotely as a remote mechanical engineering trainee?

Remote mechanical engineering trainees can work remotely if the employer offers such arrangements, often requiring proficiency in CAD software, communication tools, and remote collaboration skills. However, some tasks may still require on-site presence for hands-on testing or equipment handling, depending on the company's policies and project needs.

What are popular job titles related to Remote Mechanical Engineering Trainee jobs in Ohio?

For Remote Mechanical Engineering Trainee jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Mechanical Engineering Trainee jobs in Ohio look for?

The top searched job categories for Remote Mechanical Engineering Trainee jobs in Ohio are:

What cities in Ohio are hiring for Remote Mechanical Engineering Trainee jobs?

Cities in Ohio with the most Remote Mechanical Engineering Trainee job openings:

Remote Mechanical Engineering Trainee jobs near you

Remote Sensing Software Engineer

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

$69K - $158K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 12 hours ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0243285
Location:
Dayton,OH,US
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Remote Sensing Software Engineer
The Opportunity:
At Booz Allen, you'll join a team using advanced imaging, physics-based modeling, and AI/ML to solve some of the nation's most compelling Space Domain Awareness (SDA) and remote sensing challenges. You'll contribute to the design and development of high-fidelity processing pipelines that transform raw sensor data into insight.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes.
What You'll Do:
  • Develop software tools for radiometric modeling and satellite observation geometry.
  • Implement imaging and signal processing workflows, including motion compensation, multi-frame alignment, and super-resolution.
  • Build ML-enabled detection, anomaly identification, and object classification modules using operational EO/IR and synthetic datasets.
  • Design scientific Python pipelines such as NumPy, OpenCV, Astropy, or SciPy, for real time and batch processing.
  • Support orbital modeling tasks such as SGP4, TLE ingestion, or basic pose estimation.
  • Conduct imagery preprocessing such as radiometric calibration, artifact correction, and multi-frame filtering.
  • Maintain reproducible environments using GitLab, containers, and experiment-tracking tools.
  • Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities.

Join us. The world can't wait.
You Have:
  • 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation
  • Experience designing, modifying, developing, writing, and implementing software programming applications using Agile methods
  • Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray
  • Experience with basic orbital mechanics
  • Experience with ML frameworks such as PyTorch or TensorFlow
  • Experience with large sensor datasets such as HDF5 or cloud object storage
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with sensor phenomenology, radiometric calibration, or remote sensing interpretation
  • Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction
  • Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
  • Experience with AI-augmented development workflows or agentic tools
  • Experience with GitLab-based CI/CD workflows
  • Master's degree in Physics, Mathematics, CS, or a related STEM 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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