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Computer Engineering Internship Jobs in Farmington, UT

Smule

Internship - Research Engineer

Salt Lake City, UT · On-site

$85 - $120/hr

D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one. * Strong proficiency in Python and experience with PyTorch ...

Hitachi

Applications Engineer IV

Ogden, UT · On-site

Aiding in the Mentorship of Less Experienced Apps Engineers, Co-ops & Interns Responsibilities ... Applications Engineering, quoting, and customer interaction. * Proficiency in CAD software ...

Hitachi, Ltd.

Applications Engineer II/III

Ogden, UT · On-site

Aiding in the Mentorship of Less Experienced Apps Engineers, Co-ops & Interns Responsibilities ... Applications Engineering, quoting, and customer interaction. * Proficiency in CAD software ...

Hitachi

Applications Engineer II/III

Ogden, UT

Aiding in the Mentorship of Less Experienced Apps Engineers, Co-ops & Interns Responsibilities ... Applications Engineering, quoting, and customer interaction. * Proficiency in CAD software ...

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All JobsComputer Engineering JobsComputer Engineering Internship JobsComputer Engineering Internship Jobs in Farmington, UT

Computer Engineering Internship information

See Farmington, UT salary details

$10

$18

$28

How much do computer engineering internship jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for computer engineering internship in Farmington, UT is $18.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $19.86 per hour, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Computer Engineering Internship jobs in Farmington, UT?

For Computer Engineering Internship jobs in Farmington, UT, the most frequently searched job titles are:

What cities near Farmington, UT are hiring for Computer Engineering Internship jobs?

Cities near Farmington, UT with the most Computer Engineering Internship job openings:

Computer Engineering Internship jobs near you

Internship - Research Engineer

Smule

Salt Lake City, UT • On-site

$85 - $120/hr

Other

Re-posted 18 days ago

Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.

About the Role

We are hiring a Research Engineer to accelerate Smule's research teams by building the infrastructure, tooling, and experimental frameworks that make rigorous research possible at scale. You will work side‑by‑side with research scientists, turning experimental ideas into robust, reproducible code and helping bridge the gap between prototype and production. The ideal candidate is a skilled software engineer with genuine curiosity about ML research, deep systems knowledge, and a talent for making researchers more productive.

We strongly encourage candidates with non‑traditional backgrounds to apply. If your path into research engineering came through audio software development, game engine programming, embedded systems, HPC, or another field, we want to hear from you.

What You’ll Be Doing:
  • Design, implement, and maintain research infrastructure including experiment tracking, distributed training pipelines, and evaluation frameworks.
  • Collaborate with research scientists to implement, debug, and optimize novel model architectures, training procedures, and data pipelines.
  • Build tooling and abstractions that accelerate the experiment‑iterate‑publish cycle for the research team.
  • Ensure reproducibility of research results through rigorous version control of code, data, configurations, and compute environments.
  • Profile and optimize training and inference performance across GPU clusters, identifying and resolving bottlenecks.
  • Contribute to open‑source projects and internal libraries that codify best practices and reusable components.
What We’re Looking For:
  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong proficiency in Python and experience with PyTorch, including custom modules, training loops, and distributed training (DDP, FSDP).
  • Solid understanding of software engineering best practices: testing, CI/CD, code review, and documentation.
  • Familiarity with Linux, GPU computing, and cloud or on‑prem HPC environments.
  • Ability to read and implement methods from ML research papers.
Bonus Points For:
  • Experience with audio, speech, or music signal processing pipelines.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes, Slurm).
  • Contributions to open‑source ML frameworks or research codebases.

Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.

We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.

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