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Amazon Computer Science Internship Jobs in Raleigh, NC

... Bachelor's degree in computer science, electrical engineering, automation engineering, or ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Amazon Connect Technical Architect

Raleigh, NC · On-site

$64.50 - $77.75/hr

Work You'll Do An Amazon Connect Technical Architect is responsible for the design of our Amazon ... Bachelor's Degree in Computer Science, Engineering or equivalent work experience * Ability to ...

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Amazon Computer Science Internship information

See Raleigh, NC salary details

$13

$24

$37

How much do amazon computer science internship jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for amazon computer science internship in Raleigh, NC is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $28.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Computer Science Intern, and why are they important?

To thrive as an Amazon Computer Science Intern, you need a solid understanding of computer science fundamentals, programming languages like Java or Python, and currently be enrolled in a relevant degree program. Familiarity with version control systems (e.g., Git), cloud platforms such as AWS, and debugging or development tools is typically expected. Strong problem-solving, teamwork, and effective communication skills help interns collaborate and learn quickly in a fast-paced environment. These abilities enable interns to contribute meaningfully to projects, adapt to Amazon’s dynamic culture, and maximize their learning experience.

What types of projects do Amazon Computer Science Interns typically work on, and how are they assigned?

Amazon Computer Science Interns are usually assigned to real-world projects that have a tangible impact on the company's products and services. These projects can range from developing scalable web services, improving machine learning models, to optimizing backend systems for performance. Interns are matched with teams based on their skill set, interests, and the needs of the business, ensuring a meaningful learning experience. Collaboration is key: interns work closely with experienced engineers, participate in code reviews, and often present their solutions to stakeholders. This hands-on environment helps interns build both technical and teamwork skills.

What is an Amazon Computer Science Internship?

An Amazon Computer Science Internship is a paid, hands-on opportunity for students studying computer science or related fields to gain real-world experience at Amazon. Interns work alongside experienced engineers on impactful projects, often involving software development, systems engineering, or data analysis. The program typically runs for 12-16 weeks during the summer and offers mentorship, networking, and potential pathways to full-time roles. Interns can expect to enhance their technical skills, contribute to innovative solutions, and learn about Amazon’s culture and technologies.
What cities near Raleigh, NC are hiring for Amazon Computer Science Internship jobs? Cities near Raleigh, NC with the most Amazon Computer Science Internship job openings:

PT Adjunct Professor - Computer Science (Pool)

Shaw University

Raleigh, NC

Part-time

Posted 12 days ago


Job description

Reporting to the Academic Division Chair the Adjunct Faculty, Computer Science is responsible for teaching a
variety of undergraduate courses in Computer Information Systems (CIS), Computer Science (CS), and Cyber
Operations (CSC) degree programs.

Essential Job Functions:

• Teaching all levels of undergraduate Computer Science (CS), Computer Information Systems (CIS), and
  Cyber Operations (CSC) courses (teaching load is up to 9 credit hours per semester).
• Maintaining professional scholarship.
• Advising students, If needed but not required.
• Effectively manages the classroom environment.
• Develop, maintains, and submits accurate, timely and complete records (attendance, assignments,
  grades, end of course notebooks, etc.).
• Conducting active research.
• Participation in course and curriculum development, if needed.
• Serve the College, the University, and the profession and community as appropriate.
• Discuss matters related to the students in the applicable program.
• Disseminates information to students relating to internships and job opportunities, research, seminars,
  graduate schools, supporting programs, tutoring, etc.
• Other duties as assigned by supervisor.

Supervisory Responsibilities
None

Minimum Job Qualifications

 Education and/or Experience

• Master of Computer Science or closely related field required; Ph.D. preferred
• Demonstrated potential for effective teaching and a strong record of scholarly activity in high quality peer reviewed scholarly      journals and conferences.
• Computer architecture, Artificial Intelligence, Programming, operating systems, and networking
  expertise/networking/Cyber security are preferred.
• Conducting research preferred.

Certificates, Licenses or Registrations
Must possess the minimum credential standards of the Southern Association of Colleges and Schools (SACS),
which normally include at least 18 graduate semester credit hours in the subject area or suitable approved
justifications.

Other Competencies

Must have a philosophy that is consistent with the Mission, Vision, and Core Values of the organization. Vision, commitment, and experience in achieving goals and pursuing excellence are critical. Strong oral and written presentation skills. Ability to work well independently and as a member of a team. Excellence in the organization, decision-making, problem-solving, and creating a collaborative environment. Ability to manage multiple projects simultaneously. Must be able to read, write, and speak fluently in English.

We consider applicants for all positions without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, or any other legally protected status.