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Computer Engineer Internship Jobs in Michigan (NOW HIRING)

Keel Platform LLC

Welding Engineer (APEX) Internship

Alma, MI · On-site

$30.75 - $42.50/hr

As a Welding Engineer Intern, you will be working closely with the Welding, Fabrication, and ... Extended computer use. Will sometimes be required to walk in the shop floor environment and lift up ...

ROUSH

Mechanical Engineer I

Livonia, MI · On-site

Familiarity with Computer-Aided Design (CAD) software, SolidWorks or Siemens NX Unigraphics (UG ... Multiple themed entertainment industry or relevant engineering internships * 2+ years' experience ...

ROUSH

Mechanical Engineer I

Livonia, MI · On-site

Familiarity with Computer-Aided Design (CAD) software, SolidWorks or Siemens NX Unigraphics (UG ... Multiple themed entertainment industry or relevant engineering internships * 2+ years' experience ...

Keel

Manufacturing Engineer (OPEX) Internship

Alma, MI · On-site

$14.50 - $18.75/hr

Overview: As a Manufacturing Engineer Intern, you will be working closely with the Welding ... Extended computer use. Will sometimes be required to walk in the shop floor environment and lift up ...

KEEL

Manufacturing Engineer (OPEX) Internship

Alma, MI · On-site

$14.50 - $18.75/hr

Overview: As a Manufacturing Engineer Intern, you will be working closely with the Welding ... Extended computer use. Will sometimes be required to walk in the shop floor environment and lift up ...

Keel

Manufacturing Engineer (OPEX) Internship

Alma, MI

$14.50 - $18.75/hr

Overview: As a Manufacturing Engineer Intern, you will be working closely with the Welding ... Extended computer use. Will sometimes be required to walk in the shop floor environment and lift up ...

Keel Midwest

Manufacturing Engineer (OPEX) Internship

Alma, MI · On-site

$14.50 - $18.75/hr

Overview: As a Manufacturing Engineer Intern, you will be working closely with the Welding ... Extended computer use. Will sometimes be required to walk in the shop floor environment and lift up ...

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How much do computer engineer internship jobs pay per hour?

As of May 29, 2026, the average hourly pay for computer engineer internship in Michigan is $22.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Engineer Intern, and why are they important?

To thrive as a Computer Engineer Intern, you generally need a solid understanding of computer architecture, programming languages such as C/C++ or Python, and coursework toward a degree in computer engineering or a related field. Familiarity with development environments, version control systems like Git, and basic hardware or software debugging tools is often required. Strong analytical thinking, effective communication, and a willingness to learn quickly are standout soft skills for this role. These competencies enable interns to contribute meaningfully to projects, collaborate with team members, and rapidly acquire new technical knowledge essential for professional growth.

What types of projects and responsibilities can a Computer Engineer Intern expect during their internship?

As a Computer Engineer Intern, you can expect to work on real-world projects that may involve software development, hardware testing, or assisting with system integration tasks. Interns often collaborate closely with experienced engineers, participate in team meetings, and contribute to debugging or documentation efforts. The work environment is typically fast-paced and supportive, offering plenty of opportunities to learn new technologies and engineering best practices. Interns are also encouraged to ask questions and seek mentorship, which helps in building both technical and professional skills.

What is a Computer Engineer Internship?

A Computer Engineer Internship is a temporary position for students or recent graduates to gain practical experience in computer engineering. Interns typically work under the supervision of experienced engineers, assisting with tasks such as software development, hardware design, testing, and troubleshooting. The internship provides hands-on learning opportunities and exposure to real-world projects, helping interns develop technical skills and industry knowledge. It also allows interns to network with professionals and can often lead to full-time employment after graduation.

Which internship is best for computer engineering students?

The best internship for computer engineering students typically involves roles in software development, hardware design, or systems engineering, offering hands-on experience with programming languages like C++ or Python, and familiarity with tools such as Git or Linux. Internships at technology companies, research labs, or startups that provide mentorship and project-based work are highly valuable for skill development and industry exposure.

What is the difference between Computer Engineer Internship vs Software Developer Internship?

AspectComputer Engineer InternshipSoftware Developer Internship
Required CredentialsTypically pursuing or recent graduate in Computer Engineering, Electrical Engineering, or related fieldsUsually pursuing or recent graduate in Computer Science, Software Engineering, or related fields
Work EnvironmentHardware and software integration, embedded systems, circuit design, and firmware developmentApplication development, coding, debugging, and software testing
Industry UsageElectronics, telecommunications, hardware manufacturing, embedded systemsTech companies, app development firms, startups, software consultancies
Common Search/ComparisonYesYes

Computer Engineer Internships focus on hardware, embedded systems, and firmware, while Software Developer Internships emphasize coding and software applications. Both roles often require related technical skills but serve different industry needs and environments.

What are the most commonly searched types of Computer Engineer jobs in Michigan? The most popular types of Computer Engineer jobs in Michigan are:
What are popular job titles related to Computer Engineer Internship jobs in Michigan? For Computer Engineer Internship jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Computer Engineer Internship jobs in Michigan look for? The top searched job categories for Computer Engineer Internship jobs in Michigan are:
What cities in Michigan are hiring for Computer Engineer Internship jobs? Cities in Michigan with the most Computer Engineer Internship job openings:
Computer Engineer Internship jobs near you

Software Engineer, ML Platform (Internship)

Woven by Toyota

Ann Arbor, MI • On-site

Other

Posted 14 days ago

Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM
At Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work includes a diverse array of challenges and activities, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.
 
The Behavior team builds the machine learning training and deployment ecosystem for AD/ADAS. You will be embedded within the Automated and Assisted Driving team and collaborate closely with Autonomy ML engineers working on Perception and Planning. Our mission is to design scalable, reliable, and cost-effective ML infrastructure that enables rapid iteration and deployment of high-quality ML models, from large-scale data curation and distributed training, to push-button deployment in production. This work will support the modeling and analysis of large scale human driving data, including analysis of driver monitoring and human factors-such as driver behavior, variability, and physiological and cognitive state (e.g., user ID, eye tracking, emotional state, or other human sensing data)-to better understand interactions between humans and automated driving systems.
 
Who We Are Looking For
We are seeking motivated software interns with a strong interest in ML systems and MLOps. The ideal candidate has hands-on experience training machine learning models and is interested in improving the infrastructure that enables ML research and production at scale.
 
This role is well suited for candidates who want to work at the intersection of software engineering and machine learning. Interns in this position will contribute to well-scoped infrastructure projects and help identify and address bottlenecks in dataset creation, distributed training, and model evaluation pipelines. In addition, the role may involve developing frameworks and analytical pipelines that incorporate human physiological and variability in human behavioral data to support modeling and evaluation of real-world driving systems.
 
The position offers close collaboration with senior engineers and ML practitioners, regular technical feedback, and the opportunity to influence core platform components that are used daily by AD/ADAS ML engineers. Successful candidates will gain exposure to production-grade ML infrastructure and make measurable improvements to the reliability, scalability, and efficiency of the ML development lifecycle. This includes applying computational methods to analyze interactions between human physiological responses, behavior, and autonomous system performance in safety-critical environments.
RESPONSIBILITIES
  • Own and drive welldefined projects within our ML platform and training infrastructure
  • Analyze performance, scalability, and reliability bottlenecks in production ML workflows
  • Improve observability of training and evaluation pipelines through profiling, logging, and telemetry
  • Design and integrate MLOps tools that improve developer productivity and system reliability
  • Develop robust integration tests to improve platform stability
  • Quantify and validate improvements through systematic benchmarking and experimentation
  • Implement large scale exploratory data analysis frameworks to study human driving behaviors, and human physiological responses in real-world driving interactions.
  • Document technical designs and findings, and present progress and results to the team
MINIMUM QUALIFICATIONS
  • Currently pursuing a BSc, Master's or PhD in Computer Science, Computer Engineering, or a related field
  • Expert proficiency in Python and experience with PyTorch or similar ML frameworks
  • Experience with containerization and deployment technologies (e.g., Docker)
  • Experience building scalable data processing or ML workflows using systems such as Kubernetes, Airflow, Flyte, or similar platforms
  • Experience designing, implementing, and maintaining software systems or research tooling
  • Proficiency with version control systems (e.g., Git)
  • Familiarity with benchmarking, experimentation, and performance evaluation methodologies
NICE TO HAVES
  • Experience with distributed training frameworks (e.g., PyTorch Distributed, Horovod)
  • Knowledge of cloud infrastructure and resource management (e.g., AWS, GCP, Azure)
  • Experience designing ML systems or infrastructure for research or production environments
  • Background in autonomous driving, robotics, or largescale perception systems
  • Familiarity with C++ or performancecritical systems programming
  • Strong technical writing and presentation skills
Our Commitment
We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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