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Computer Engineering Intern Jobs in Golden Valley, MN

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Computer Engineering Intern information

See Golden Valley, MN salary details

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How much do computer engineering intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for computer engineering intern in Golden Valley, MN is $20.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $21.73 per hour, depending on experience, location, and employer.

What does a computer engineering intern do?

A Computer Engineering Intern assists with the design, development, testing, and maintenance of computer hardware and software systems. Interns often work under the supervision of experienced engineers and may contribute to projects involving programming, circuit design, troubleshooting, or system optimization. Their responsibilities can include writing code, assembling hardware components, performing experiments, and documenting results. This role is designed to give students hands-on experience and help them apply classroom knowledge to real-world engineering problems.

What is the difference between Computer Engineering Intern vs Software Engineering Intern?

AspectComputer Engineering InternSoftware Engineering Intern
Required CredentialsEnrolled in Computer Engineering, Electrical Engineering, or related degreeEnrolled in Computer Science, Software Engineering, or related degree
Work EnvironmentHardware labs, embedded systems, firmware developmentApplication development, coding, software testing
Employer & Industry UsageTech companies, hardware manufacturers, embedded systems firmsSoftware companies, tech startups, IT departments

Computer Engineering Interns typically focus on both hardware and software aspects, working with embedded systems and hardware integration. In contrast, Software Engineering Interns primarily work on software development and coding. Both roles often require similar educational backgrounds but differ in their work environments and industry focus.

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 typically need a foundation in computer engineering principles, programming languages like C/C++ or Python, and coursework toward a relevant degree. Familiarity with version control systems (such as Git), hardware description languages, and basic circuit design tools is often expected. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts clearly help interns stand out. These competencies enable effective contribution to engineering projects, smooth collaboration with teams, and rapid learning in a dynamic work environment.

What types of projects or tasks can a computer engineering intern expect to work on during their internship?

As a Computer Engineering Intern, you can anticipate working on a mix of hardware and software projects, often supporting ongoing development or testing efforts. Typical tasks may include contributing to circuit design, debugging embedded systems, writing or optimizing code, and assisting with prototype validation. Interns frequently collaborate with senior engineers, participate in team meetings, and may be given independent assignments to develop technical and problem-solving skills. The internship environment is usually fast-paced, offering exposure to real-world engineering challenges and valuable mentorship opportunities.
What cities near Golden Valley, MN are hiring for Computer Engineering Intern jobs? Cities near Golden Valley, MN with the most Computer Engineering Intern job openings:
Infographic showing various Computer Engineering Intern job openings in Golden Valley, MN as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $41,707 per year, or $20.1 per hour.

Graduate Engineering Intern - Building Controls Modeling & Simulation

Daikin Applied

Plymouth, MN โ€ข On-site

$30 - $33/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!
Graduate Engineering Intern - Building Controls Modeling & Simulation - Plymouth, MN - Hybrid
Make your mark at the world's largest HVAC company
Daikin Applied is seeking a highly motivated graduate engineering student for a full-time, 10 month engagement as a Graduate Engineering Intern (Building Controls Modeling & Simulation). This position will support the development of a generic, parameterizable building energy and controls model using Modelica / Dymola, with integration into FMU-based workflows and MATLAB/Simulink environments.
This effort will serve as a proof of concept (PoC) demonstrating that physics-based building models can be used to evaluate transient behavior, robustness, and performance of building automation and control strategies in greater than real time Model in the Loop (MiL) simulations.
The longer-term vision is to evolve this capability into a scalable engineering and decision support tool, potentially leveraging AI and machine learning, to help applications and sales engineers size, tune, and compare optimal building control solutions across a wide range of building types and operating conditions.
Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!
Location: Plymouth, MN - Hybrid
Timeline: This Internship opportunity will start approximately May-June 2026 (flexible to align with academic schedules) and has an end date of December 2026
What you will do:
  • Develop a generic, modular, and parameterizable building model in Modelica/Dymola suitable for multiple building archetypes and HVAC/control configurations.
  • Leverage and extend existing Modelica building libraries (e.g., Berkeley National Laboratory / Modelica Buildings Library) where appropriate.
  • Implement and evaluate building automation and control strategies within a dynamic simulation framework.
  • Export and integrate models as FMUs (Functional Mock-up Units) for use in MATLAB/Simulink MiL simulations.
  • Demonstrate transient system behavior, control robustness, and performance under disturbances, parameter variation, and uncertainty.
  • Optimize model structure and solver settings to enable faster-than-real-time simulation performance.
  • Collaborate with engineering stakeholders to define modeling scope, use cases, and success criteria for the PoC.
  • Clearly document model architecture, assumptions, limitations, and validation results.
  • Explore opportunities to incorporate AI/ML techniques (e.g., surrogate modeling, optimization, or design-space exploration) to enhance scalability and usability.

What's in it for you:
  • The ability to make an impact and shape your career with a company that is passionate about growth
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best

Minimum Qualifications:
  • Currently enrolled M.S. or Ph.D. student in Mechanical Engineering, Electrical Engineering, Architectural Engineering, Controls Engineering, or a closely related field.
  • Academic or research focus in building automation, building energy modeling, HVAC systems, or advanced control methods.
  • Experience with Modelica and Dymola, or equivalent equation-based physical modeling tools.
  • Strong foundation in dynamic systems, control theory, and numerical simulation.
  • Experience using MATLAB/Simulink for modeling, simulation, or control development.
  • Proficiency in technical programming or scripting (MATLAB, Python, or similar).
  • Ability to work independently on an applied, deliverables-driven project and communicate results clearly.

Preferred Qualifications:
  • Familiarity with the Berkeley National Laboratory Modelica Buildings Modeling Library.
  • Experience with the FMI/FMU standard and multi-tool simulation workflows.
  • Knowledge of building automation systems (BAS) architectures and control strategies.
  • Exposure to MiL, SiL, real-time, or accelerated simulation workflows.
  • Coursework or experience in optimization, reduced-order modeling, or machine learning.
  • Interest in applying AI/ML methods to physics-based engineering models and decision-support tools.

Benefits:
  • Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:
  • Multiple medical insurance plan options + dental and vision insurance
  • 401K retirement plan with employer match
  • Paid time off and company paid holidays
  • Paid sick time in accordance with the federal, state and local law
  • Tuition Reimbursement after 6 months of continuous service

The typical hourly rate for this position ranges from $30.00/ hr. to $33.00 / hr. in Minnesota. The range displayed represents the pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.
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If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied!