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Computer Engineering Research Assistant Jobs (NOW HIRING)

Data Engineering - Research Assistant

College Park, MD · On-site

$19 - $26.25/hr

The Data Engineering Research Assistant [TW2.1]works directly with project teams to build and run ... Spending long hours in front of a computer screen. Licenses/ Certifications N/A Minimum ...

Research Assistant

Washington, DC · On-site

$21 - $31/hr

Research Assistant will assist with user testing and user centered design of biometric technologies ... Bachelor of Science in Computer Science, Computer Engineering, Information Systems,5+ years in ...

Research Assistant will assist with user testing and user centered design of biometric technologies ... Bachelor of Science in Computer Science, Computer Engineering, Information Systems,5+ years in ...

The Research Assistant will support the development and implementation of machine learning ... Master's or PhD in Electrical Engineering, Computer Science, or related discipline. * Research ...

The Research Assistant will support the development and implementation of machine learning ... Master's or PhD in Electrical Engineering, Computer Science, or related discipline. * Research ...

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Computer Engineering Research Assistant information

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$12

$31

$57

How much do computer engineering research assistant jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for computer engineering research assistant in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

What does a computer engineering research assistant do?

A Computer Engineering Research Assistant supports senior researchers and faculty by helping design, conduct, and analyze experiments related to computer engineering topics such as hardware, software, embedded systems, or networking. Their tasks often include programming, data collection, setting up laboratory equipment, and reviewing technical literature. They may also assist in writing research papers, preparing presentations, and managing project documentation. This role provides hands-on experience in advanced computer engineering concepts while contributing to research advancements.

What types of projects do computer engineering research assistants typically contribute to, and how do they collaborate with faculty and graduate students?

Computer Engineering Research Assistants often work on projects involving hardware design, embedded systems, machine learning applications, or network protocols. They typically assist with experimental setups, data collection, coding, and literature reviews. Collaboration is key; research assistants regularly meet with faculty and graduate students to discuss progress, troubleshoot challenges, and refine research objectives. This teamwork fosters a supportive environment and offers valuable learning opportunities, helping assistants build both technical and communication skills that are essential for career advancement.

What are the key skills and qualifications needed to thrive as a computer engineering research assistant, and why are they important?

To thrive as a Computer Engineering Research Assistant, you need a strong background in computer engineering fundamentals, programming, and data analysis, typically supported by progress toward a relevant degree. Familiarity with tools such as MATLAB, Python, simulation software, and version control systems is often required, along with experience using laboratory equipment. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with research teams and present findings clearly. These skills and qualities are crucial for contributing meaningfully to research projects, ensuring accurate results, and supporting innovation within the field.

What is the difference between Computer Engineering Research Assistant vs Electrical Engineering Research Assistant?

AspectComputer Engineering Research AssistantElectrical Engineering Research Assistant
Required CredentialsBachelor's or Master's in Computer Engineering or related fieldBachelor's or Master's in Electrical Engineering or related field
Work EnvironmentLaboratories, research centers, academic institutionsLaboratories, research centers, academic institutions
Employer & Industry UsageUniversities, tech companies, research labsUniversities, power companies, electronics firms
Common Search & ComparisonYesYes

The main difference between a Computer Engineering Research Assistant and an Electrical Engineering Research Assistant lies in their specialization. Computer Engineering RAs focus on hardware-software integration, embedded systems, and computer architecture, while Electrical Engineering RAs work on circuits, power systems, and electronics. Both roles typically require similar educational backgrounds and are found in academic and research settings, but their specific projects and industry applications differ.

What cities are hiring for Computer Engineering Research Assistant jobs?

Cities with the most Computer Engineering Research Assistant job openings:

What states have the most Computer Engineering Research Assistant jobs?

States with the most job openings for Computer Engineering Research Assistant jobs include:

What are popular job titles related to Computer Engineering Research Assistant jobs?

For Computer Engineering Research Assistant jobs, the most frequently searched job titles are:

Infographic showing various Computer Engineering Research Assistant job openings in the United States as of September 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 100% In-person job distribution, with an average salary of $65,624 per year, or $31.6 per hour.

Data Engineering - Research Assistant

College Park, MD • On-site

Usmd
Health Care and Social Assistance • 1 - 5K employees

$19 - $26.25/hr

Other

Posted 8 days ago


Job description

Job Description Summary

The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) dedicated to advancing research, innovation, and technology transition to improve decision making for U.S. national security. ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human-machine teaming. Researchers, scientists, engineers, and analysts at ARLIS collaborate with government agencies, industry partners, and academic institutions to deliver actionable insights and transformative solutions through research and development. Employees at ARLIS work on projects of critical importance, contribute directly to the nation’s security, and are supported by a culture that values integrity, collaboration, and professional growth. The Data Engineering Research Assistant [TW2.1]works directly with project teams to build and run Python-based data pipelines, prepare, load, and validate data in databases, and help implement search and retrieval components under the guidance of senior technical staff.

Physical Demands

Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen.

Licenses/ Certifications

N/A

Minimum QualificationsEducation

Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related field from an accredited college or university.

Experience
  • Professional or substantial project-based experience programming in Python.
  • Experience designing and implementing data pipelines or ETL/ELT jobs that read from one or more sources, transform data, and load into a database.
  • Hands‑on experience with at least one database (document or relational), including schema design, writing queries, and validating loaded data.
  • Experience using Linux command-line tools and working in a Git‑based workflow (branches and pull requests).
  • Experience writing and executing tests in Python (e.g., using Pytest).
  • Experience using Docker or similar containerization tools to run or troubleshoot applications.
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