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Computer Engineering Internship Jobs in Abingdon, VA

Fractile

Physical Design Engineer

Bristol, VA · On-site

$80 - $120/hr

... Computer Engineering, or a related field. * 0-5 years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below), including internships. * Familiarity with EDA tools ...

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All JobsComputer Engineering JobsComputer Engineering Internship JobsComputer Engineering Internship Jobs in Abingdon, VA

Computer Engineering Internship information

See Abingdon, VA salary details

$10

$18

$28

How much do computer engineering internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for computer engineering internship in Abingdon, VA is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.14 per hour, depending on experience, location, and employer.

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 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 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.

Which internship is best for computer engineering students?

The best internship for computer engineering students typically involves roles in software development, hardware design, or systems engineering, offering hands-on experience with programming languages like C++ or Python, and tools such as Git or Linux. Internships at technology companies, research labs, or startups that provide mentorship and project-based work are highly valuable for skill development and industry exposure.

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 do computer engineering interns do?

Computer engineering interns assist with designing, developing, and testing hardware and software systems. They often work on coding, troubleshooting, and documentation under the supervision of experienced engineers, gaining practical skills in programming languages, circuit design, and system integration. Internships typically involve collaborative projects and may require familiarity with tools like CAD software or programming environments.
What cities near Abingdon, VA are hiring for Computer Engineering Internship jobs? Cities near Abingdon, VA with the most Computer Engineering Internship job openings:
Computer Engineering Internship jobs near you

Physical Design Engineer

Fractile

Bristol, VA • On-site

$80 - $120/hr

Other

Posted 2 days ago

New

Job description

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a Physical Design Engineer to contribute to our next‑generation chip designs. As a Physical Design Engineer, you will support the implementation of complex IC physical designs, from synthesis to sign‑off. You will collaborate with cross‑functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:
  • Support the physical implementation of ASIC/SoC designs, including floor planning, placement, clock tree synthesis (CTS), routing, and sign‑off.
  • Work on synthesis, timing analysis (STA), and optimisation to achieve strong PPA metrics.
  • Assist in power planning and analysis, addressing IR drop, electromigration, and related effects.
  • Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
  • Collaborate with DFT engineers to integrate design‑for‑test (DFT) structures into the physical implementation.
  • Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
  • Work closely with RTL and architecture teams to support design feasibility, constraints, and physical‑aware RTL design.
  • Work with advanced AI tools and models to improve productivity, analysis, and design quality.
Preferred Qualifications:
  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • 0–5 years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below), including internships.
  • Familiarity with EDA tools for place & route, STA, and sign‑off.
  • Basic understanding of CMOS technology, semiconductor physics, and process limitations.
  • Exposure to timing closure, signal integrity, IR drop analysis, and formal verification.
  • Proficiency in scripting languages like TCL, Perl, or Python for automation is a plus.
  • Excellent problem‑solving skills, communication, and teamwork in a collaborative design environment.
  • Interest in working with advanced AI tools and models as part of the design workflow.
  • Experience or coursework in high‑performance computing (HPC), AI accelerators, or networking chips is a plus.
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