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Computer Engineering Internship Jobs in Washington

... Computer Engineering, Information Systems, Cybersecurity, Data Science, or a related technical field from an accredited institution. QA-related coursework, certifications, bootcamps, internships, or ...

... Computer Engineering, Information Systems, Cybersecurity, Data Science, or a related technical field from an accredited institution. QA-related coursework, certifications, bootcamps, internships, or ...

... Computer Engineering, or a related field * Must be located in North America * Familiarity with AWS or other cloud environments through coursework, personal projects, or internships * Exposure to ...

... Computer Engineering, or a related field * Must be located in North America * Familiarity with AWS or other cloud environments through coursework, personal projects, or internships * Exposure to ...

... Computer Engineering, or a related field * Must be located in North America * Familiarity with AWS or other cloud environments through coursework, personal projects, or internships * Exposure to ...

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

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Computer Engineering Internship information

See Washington salary details

$12

$21

$33

How much do computer engineering internship jobs pay per hour?

As of May 31, 2026, the average hourly pay for computer engineering internship in Washington is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $23.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Engineering Intern, and why are they important?

To thrive as a Computer Engineering Intern, you need a solid understanding of computer hardware, software development, and programming languages like C/C++, Java, or Python, often supported by progress toward a relevant degree. Familiarity with version control systems (e.g., Git), debugging tools, and possibly coursework or certification in embedded systems or networking is beneficial. Strong problem-solving abilities, willingness to learn, and effective teamwork and communication skills help interns stand out. These skills enable you to contribute to technical projects, adapt quickly in a dynamic environment, and collaborate successfully with engineering teams.

What types of projects can I expect to work on during a Computer Engineering Internship?

During a Computer Engineering Internship, you can expect to work on a variety of hands-on projects such as developing embedded systems, assisting with hardware testing, or writing and debugging code for software applications. Interns often collaborate with cross-functional teams, including hardware engineers and software developers, to contribute to real-world product development. These projects are designed to provide practical experience, enhance your technical skills, and help you understand the workflow within a professional engineering environment. You may also have opportunities to present your work and receive feedback from experienced mentors.

What is a Computer Engineering Internship?

A Computer Engineering Internship is a temporary position designed for students or recent graduates to gain hands-on experience in the field of computer engineering. Interns typically work alongside experienced engineers on projects involving hardware, software, or systems integration. These internships provide practical exposure to real-world engineering challenges, enhance technical skills, and help interns build a professional network. They are often a stepping stone to full-time employment in the technology industry.

What is the difference between Computer Engineering Internship vs Software Engineering Internship?

AspectComputer Engineering InternshipSoftware Engineering Internship
Required CredentialsTypically pursuing or completed a degree in computer engineering, electrical engineering, or related fieldsUsually pursuing or completed a degree in computer science, software engineering, or related fields
Work EnvironmentHardware labs, embedded systems, firmware development, and hardware-software integrationApplication development, coding, testing, and software design in office or remote settings
Employer & Industry UsageTech companies, hardware manufacturers, embedded systems firmsSoftware companies, tech startups, IT departments
Common Search & Comparison IntentUnderstanding internship roles involving hardware and embedded systemsExploring software development internship opportunities

Computer Engineering Internships focus on hardware, embedded systems, and firmware, while Software Engineering Internships emphasize coding, application development, and software design. Both roles are valuable entry points in tech but cater to different skill sets and industry areas.

What are the most commonly searched types of Computer Engineering jobs in Washington? The most popular types of Computer Engineering jobs in Washington are:
What cities in Washington are hiring for Computer Engineering Internship jobs? Cities in Washington with the most Computer Engineering Internship job openings:
Infographic showing various Computer Engineering Internship job openings in Washington as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 4% Part Time, 1% Temporary, and 5% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $45,501 per year, or $21.9 per hour.
Dat Science/AIML Engineering Summer Intern

Dat Science/AIML Engineering Summer Intern

QinetiQ

Fort Belvoir, VA โ€ข On-site

$19 - $24.50/hr

Temporary, Internship

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Company Overview
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).
QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.
Why Join QinetiQ US?
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.
Position Overview
QinetiQ US is seeking a motivated undergraduate student currently pursuing a bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a closely related STEM discipline to join our Signal & Image Processing team for a summer internship at Fort Belvoir, Virginia.
This is a hands-on, onsite internship with no remote work option. The selected intern must be available to work a minimum of 8 consecutive weeks during the summer.
The intern will gain real-world experience supporting the design, development, testing, and evaluation of advanced AI/ML algorithms and Hardware integration of UAV UGV for Aided Target Recognition (AiTR applications. This is an excellent opportunity for students looking to apply classroom knowledge to cutting-edge defense technology programs in a collaborative, multidisciplinary engineering environment
Responsibilities
  • Assist senior engineers and scientists in the research, development, and prototyping of advanced optical materials, components, assemblies, and subassemblies for imaging and non-imaging systems
  • Support hands-on laboratory activities including assembly, alignment, calibration, and testing of UAV/UGV platforms
  • Assist with technology trade studies, optical design and performance modeling, and fabrication tolerance analysis under the guidance of experienced staff
  • Support the research and development of AiTR algorithms and AI/ML software pipelines
  • Assist in building prototypes and assessing AiTR systems in a laboratory environment
  • Support laboratory testing, characterization, and field testing of advanced EO/IR camera sensors operating in Ultraviolet, Visible, NIR, SWIR, MWIR, and LWIR wavebands, including multi-band camera sensors
  • Support documentation efforts, including contributing to Scientific and Technical Reports and test data collection
  • Participate in design reviews and team meetings, gaining exposure to the full engineering lifecycle from concept through prototype
  • Perform other duties as assigned in support of the AiTR Algorithm mission areas

Required Qualifications
  • Currently enrolled in and actively pursuing a Bachelor's degree in Optical Engineering, Electrical Engineering, Computer Science, Physics, Materials Science, or a closely related STEM discipline (sophomore, junior, or senior standing preferred)
  • Coursework in optics, physics, electro-magnetics, or related subjects
  • Strong interest in AI/ML, robotics, photonics, imaging systems, and/or electro-optical technologies
  • Ability to work onsite at Fort Belvoir, Virginia for a minimum of 8 consecutive weeks during the summer
  • Strong written and verbal communication skills
  • Ability to work collaboratively in a multidisciplinary team environment
  • Attention to detail and willingness to learn in a hands-on laboratory setting
  • Must be a U.S. Citizen and able to obtain a DoD Secret clearance (or have an active clearance)

Preferred Qualifications
  • Completed coursework or lab experience in AI/ML algorithms
  • Familiarity with MLOPs pipelines
  • Familiarity with Python, MATLAB, or similar data acquisition and analysis tools
  • Hands-on experience in a laboratory, machine shop, or maker space environment
  • Interest in or exposure to infrared imaging, electro-optical systems, robotics, or defense applications
  • Prior internship or co-op experience in an engineering or scientific environment

Company EEO Statement
Accessibility/Accommodation:
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 1 and let us know the nature of your request and contact information.
QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.