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Remote Embedded Software Intern Jobs in Virginia

Sentara Healthcare

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho ... embedded into the platform. Key Responsibilities * Develop and maintain data pipelines using ...

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Remote Embedded Software Intern information

What are the key skills and qualifications needed to thrive as a Remote Embedded Software Intern, and why are they important?

To thrive as a Remote Embedded Software Intern, you generally need a solid understanding of computer science fundamentals, C/C++ programming, and familiarity with microcontroller architectures, often supported by ongoing or completed coursework in electrical engineering or computer engineering. Experience with development tools such as integrated development environments (IDEs), version control systems like Git, and debugging hardware or simulators is typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for remote collaboration and learning. These skills and qualities are important because they enable interns to contribute meaningfully to real-world embedded systems projects while adapting to remote teamwork and project demands.

What are some common challenges faced by Remote Embedded Software Interns, and how can they be managed effectively?

Remote Embedded Software Interns often encounter challenges such as limited access to physical hardware for testing, coordinating with geographically dispersed teams, and troubleshooting issues without in-person support. To address these challenges, interns should proactively communicate with their mentors, make use of simulation tools, and participate in regular virtual meetings to stay aligned with project goals. Establishing a strong routine for documenting progress and asking for feedback can also help interns stay engaged and overcome obstacles effectively.

What is a Remote Embedded Software Intern?

A Remote Embedded Software Intern is a student or recent graduate who works remotely to assist in the development and testing of software that runs on embedded systems, such as microcontrollers or IoT devices. Their tasks often include writing code in languages like C or C++, debugging hardware-software interactions, and collaborating with engineering teams through virtual platforms. The position provides hands-on experience in embedded systems while allowing interns to work from anywhere, making it ideal for gaining industry experience without the need to relocate.
What are popular job titles related to Remote Embedded Software Intern jobs in Virginia? For Remote Embedded Software Intern jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Software Intern jobs in Virginia look for? The top searched job categories for Remote Embedded Software Intern jobs in Virginia are:
What cities in Virginia are hiring for Remote Embedded Software Intern jobs? Cities in Virginia with the most Remote Embedded Software Intern job openings:
Remote Embedded Software Intern jobs near you
Skillbridge Internship- AI Software Engineer (Remote)

Skillbridge Internship- AI Software Engineer (Remote)

Knexus

Vienna, VA • On-site, Remote

Full-time

Re-posted 2 days 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.• 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

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