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Internship Remote Mechatronics Engineer Jobs in Virginia

Application Engineer

Radford, VA ยท On-site +1

$129K/yr

... remote assistance. Perform field installations of prototype systems and train customer resources on ... Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, or ...

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Internship Remote Mechatronics Engineer information

What are the key skills and qualifications needed to thrive as a remote mechatronics engineering intern?

To thrive as a Remote Mechatronics Engineer Intern, you need foundational knowledge in mechanical, electrical, and computer engineering, typically supported by coursework or a degree in mechatronics or a related field. Familiarity with CAD software, programming languages (such as Python or C++), and simulation tools like MATLAB is often required. Strong problem-solving, communication, and self-motivation are vital soft skills for effective remote collaboration and project management. These skills and qualities ensure you can contribute to multidisciplinary projects, adapt to remote work challenges, and deliver innovative engineering solutions.

What types of projects or tasks can I expect to work on as a remote mechatronics engineering intern?

As a remote Mechatronics Engineering intern, you can expect to work on a variety of projects that may include designing and simulating electromechanical systems, assisting with the development of control algorithms, and supporting the integration of hardware and software components. Interns often collaborate with multidisciplinary teams using virtual tools to contribute to research, prototyping, or system testing. You'll likely be involved in documentation, data analysis, and troubleshooting tasks, gaining hands-on experience with industry-standard software and remote collaboration platforms.

What does a remote mechatronics engineering intern do?

A remote mechatronics engineering intern supports engineering teams by working on projects that combine mechanical, electrical, and software engineering. Typical tasks include assisting with designing and simulating systems, programming microcontrollers, creating CAD models, and testing prototypes. As the role is remote, communication and collaboration are primarily done online, and interns may use cloud-based tools to contribute to projects. This internship offers valuable hands-on experience and exposure to multidisciplinary engineering challenges in a flexible setting.
What are the most commonly searched types of Remote Mechatronics Engineer jobs in Virginia? The most popular types of Remote Mechatronics Engineer jobs in Virginia are:
What job categories do people searching Internship Remote Mechatronics Engineer jobs in Virginia look for? The top searched job categories for Internship Remote Mechatronics Engineer jobs in Virginia are:
What cities in Virginia are hiring for Internship Remote Mechatronics Engineer jobs? Cities in Virginia with the most Internship Remote Mechatronics Engineer job openings:

Skillbridge Internship- AI Software Engineer (Remote)

Knexus

Vienna, VA โ€ข On-site, Remote

Full-time

Re-posted 23 hours ago


Job description

About Knexus
Do you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoW challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!
Position Overview
During your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.
Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.
Key Responsibilities
  • Build unique and custom AI solutions for DoD agencies.
  • Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.
  • Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios.โ€ข Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.
  • Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.
  • Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.
Qualifications and Experience
  • Degree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.
  • Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!
  • Warfare qualification is a plus

You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.
  • Defense Logistics Agency (DLA)
  • Naval Surface and Mine Warfighting Development Center (SMWDC)
  • Surface Warfare Officer School (SWOS)
  • Department Head tour as a Surface Warfare Officer (SWO)
  • NAVAIR
  • Office of Naval Research
  • Naval Research Lab
  • DARPA