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Computer Engineer Intern Jobs in Phoenix, AZ (NOW HIRING)

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How much do computer engineer intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for computer engineer intern in Phoenix, AZ is $25.24, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $28.65 per hour, depending on experience, location, and employer.

What is a computer engineer intern?

A Computer Engineer Intern is a temporary position where students or recent graduates gain hands-on experience in computer engineering. Interns typically assist with hardware and software development, debugging, testing, and system design under the supervision of experienced engineers. They may work on tasks such as coding, circuit design, or improving system performance. This role helps interns develop technical skills, problem-solving abilities, and industry knowledge. It also provides an opportunity to network and potentially secure a full-time job after graduation.

What kinds of projects and tasks can I expect to work on as a computer engineer intern?

As a Computer Engineer Intern, you can expect to assist with tasks such as debugging code, developing and testing software or hardware components, and helping with system integration projects. You may also support senior engineers by conducting research, documenting technical processes, or contributing to prototype builds and experiments. Interns often participate in team meetings and may be asked to present findings or project updates. This hands-on experience provides valuable exposure to real-world engineering workflows and helps you build both technical and professional skills.

What are the key skills and qualifications needed to thrive as a computer engineer intern?

To thrive as a Computer Engineer Intern, you need a strong grasp of programming languages (such as C++, Python, or Java), knowledge of computer architecture, and current enrollment in or completion of a relevant degree program. Experience using development environments, version control systems like Git, and an understanding of hardware-software integration are typical requirements. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills ensure you can contribute to technical projects, collaborate seamlessly with your team, and adapt to the fast-paced environment of computer engineering.

What are the most commonly searched types of Computer Engineer jobs in Phoenix, AZ?

The most popular types of Computer Engineer jobs in Phoenix, AZ are:

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Computer Engineer Intern jobs near you
Infographic showing various Computer Engineer Intern job openings in Phoenix, AZ as of August 2026, with employment types broken down into 40% Full Time, 40% Part Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $52,492 per year, or $25.2 per hour.

Full Stack Software Engineer (Intern)

Astral Insights LLC

Phoenix, AZ • On-site

$50 - $70/hr

Other

Posted 4 days ago

Job description

Astral Insights builds AI-driven solutions to solve the most complex operational challenges in manufacturing and supply chain. We're looking for a motivated Full Stack Software Engineer intern to join our engineering team and contribute to real product work: building out our Artemis AI problem-solving engine and Phoenix data platform.

You'll work alongside senior engineers on Artemis and Phoenix, picking up features, squashing bugs, and learning what it means to build production software in a fast-moving, quality-conscious environment. If you're early in your career and serious about becoming a strong engineer, this is a place where that happens quickly.

What You'll Do Contribute features across the stack

Pick up real product work on the Artemis AI problem-solving engine and the Phoenix data platform. Ship features across the frontend (Next.js) and backend (Python, REST APIs) under the guidance of senior engineers.

Write and run your own tests

Build the habit of testing your own code from day one. Quality is not a separate phase; it is part of how we ship.

Participate in code reviews

Sprint planning, daily standups, and iterative delivery. You will own work end-to-end inside a sprint and be expected to communicate progress and blockers clearly.

Use AI-assisted development tools thoughtfully

Use Claude Code, Copilot, and similar tools to accelerate your work. Learn when to trust the output, when to verify, and when to throw it out.

Document what you build

Write clearly enough that a teammate can pick up your work without a meeting. Good documentation is part of the deliverable, not an afterthought.

What We're Looking For Pursuing or recently completed a CS-adjacent degree

Computer Science, Software Engineering, or a related field. We care about what you can build, not just where you studied.

Working knowledge of a backend language and the web fundamentals Comfortable with Git Hands-on with agentic coding tools Demonstrated exceptional ability

Academically, professionally, or through extracurriculars. You have shipped, won, built, or led something that stands out.

Curious and self-directed

You have a bias toward figuring things out before asking for help. You ask sharp questions when you do.

Clear communicator in a remote-first environment

You can write a clear update, leave a useful PR comment, and run a focused video call. Your team should never have to guess what you're working on.

Bonus Points
  • Exposure to cloud platforms (AWS, Azure, or GCP).
  • Experience with SQL and relational databases.
  • Coursework or projects involving data pipelines, machine learning, APIs, or MCPs.
  • Familiarity with testing frameworks in any language.
Why Astral
  • Real product work on the Artemis AI engine and Phoenix data platform, not a rotation program or busywork.
  • Direct mentorship from senior engineers and exposure to the founding team.
  • Technically interesting problems: AI agents, supply chain signal processing, and regulated data pipelines.
  • A small, high-output team where your contributions are visible and your growth is fast.
  • Heavy investment in AI tooling. If a tool makes you faster, we buy it.

Must be authorized to work in the US. Hybrid arrangements and remote programs are open for consideration.

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