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Manufacturing Engineer Internship Jobs in Arizona

Medtronic

Engineering Intern - Summer 2027

Tempe, AZ

$16 - $20.75/hr

A Day in the Life Our summer internships are full-time (40 hours/week), paid positions lasting 10 ... Design and support manufacturing processes, procedures, and production layouts for assemblies ...

Medtronic

Engineering Intern - Summer 2027

Tempe, AZ

$16 - $20.75/hr

A Day in the Life Our summer internships are full-time (40 hours/week), paid positions lasting 10 ... Design and support manufacturing processes, procedures, and production layouts for assemblies ...

The Antigua Group Inc

Industrial Engineer

Peoria, AZ · On-site

$27.50 - $30.50/hr

Previous full-time engineering experience is not required; relevant internship, co-op, capstone, laboratory, or manufacturing project experience is preferred. • Coursework or practical exposure to ...

The Antigua Group Inc

Industrial Engineer

Peoria, AZ · On-site

$27.50 - $30.50/hr

Previous full-time engineering experience is not required; relevant internship, co-op, capstone, laboratory, or manufacturing project experience is preferred. · Coursework or practical exposure to ...

The Antigua Group Inc

Industrial Engineer

Peoria, AZ

$27.50 - $30.50/hr

Previous full-time engineering experience is not required; relevant internship, co-op, capstone, laboratory, or manufacturing project experience is preferred. Coursework or practical exposure to Lean ...

Clayco

Mechanical Engineer I

Phoenix, AZ

... advanced manufacturing plants, and other high-availability environments. This is an excellent ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Phoenix, AZ · On-site

... advanced manufacturing plants, and other high-availability environments. This is an excellent ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Phoenix, AZ · On-site

... advanced manufacturing plants, and other high-availability environments. This is an excellent ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Phoenix, AZ · On-site

... advanced manufacturing plants, and other high-availability environments. This is an excellent ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Phoenix, AZ · On-site

... advanced manufacturing plants, and other high-availability environments. This is an excellent ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

Clayco

Mechanical Engineer I

Phoenix, AZ

... advanced manufacturing plants, and other high-availability environments. This is an excellent ... Engineering; internship or co-op experience in mission-critical, data center, or industrial ...

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Manufacturing Engineer Internship information

See Arizona salary details

$10

$17

$27

How much do manufacturing engineer internship jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for manufacturing engineer internship in Arizona is $18.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.47 per hour, depending on experience, location, and employer.

What types of projects and hands-on experiences can I expect during a manufacturing engineer internship?

As a Manufacturing Engineer Intern, you will typically participate in projects focused on process optimization, quality improvement, and production efficiency. Interns often assist with data collection and analysis, support equipment troubleshooting, and collaborate with cross-functional teams such as quality assurance and production. You may also have opportunities to contribute to lean manufacturing initiatives, design workflow layouts, and present your findings to engineering leadership. This hands-on exposure gives interns a strong foundation in real-world manufacturing operations and problem-solving.

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

To thrive as a Manufacturing Engineer Intern, you typically need a background in mechanical, industrial, or manufacturing engineering, along with solid analytical and problem-solving skills. Familiarity with CAD software, lean manufacturing principles, and quality management systems is important, and internships may prefer candidates with relevant coursework or certifications. Strong teamwork, communication, and adaptability help interns integrate with experienced teams and tackle dynamic manufacturing challenges. These skills and qualifications enable interns to contribute effectively to process improvements and support efficient, high-quality production operations.

What is the difference between Manufacturing Engineer Internship vs Manufacturing Engineer?

AspectManufacturing Engineer InternshipManufacturing Engineer
CredentialsTypically pursuing or recent graduate with a degree in engineering or related fieldBachelor's degree in engineering; often requires 1-3 years of experience
Work EnvironmentInternship setting, often in manufacturing plants or corporate officesFull-time role in manufacturing facilities, design, or process improvement teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employeesFull-time position responsible for process optimization, quality, and production efficiency

The Manufacturing Engineer Internship is a temporary, training-focused position for students or recent graduates, providing hands-on experience. In contrast, a Manufacturing Engineer is a full-time professional responsible for ongoing process improvements and production management. Internships often serve as a stepping stone to a full engineering role in manufacturing companies.

What does a manufacturing engineer intern do?

A Manufacturing Engineer Intern supports the design, improvement, and optimization of manufacturing processes in a production facility. Typical responsibilities include assisting with process analysis, troubleshooting equipment issues, collecting data, and collaborating with engineers to implement efficiency improvements. Interns often work on projects to reduce waste, improve product quality, and boost productivity. This role provides hands-on experience with manufacturing technologies and exposure to lean manufacturing principles, preparing students for a full-time engineering career.
What are the most commonly searched types of Manufacturing Engineer jobs in Arizona? The most popular types of Manufacturing Engineer jobs in Arizona are:
What are popular job titles related to Manufacturing Engineer Internship jobs in Arizona? For Manufacturing Engineer Internship jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Manufacturing Engineer Internship jobs in Arizona look for? The top searched job categories for Manufacturing Engineer Internship jobs in Arizona are:
What cities in Arizona are hiring for Manufacturing Engineer Internship jobs? Cities in Arizona with the most Manufacturing Engineer Internship job openings:
Manufacturing Engineer Internship jobs near you
Infographic showing various Manufacturing Engineer Internship job openings in Arizona as of July 2026, with employment types broken down into 90% Full Time, 3% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $37,438 per year, or $18 per hour.

Senior AI / Data Science Engineer

Intel Corporation

Phoenix, AZ • On-site

$105K - $143K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers

Job description

Job Details:
Job Description:
Join Intel and build a better tomorrow.
Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel Foundry Technology Manufacturing (FTM). We bridge the critical gap between Technology Development (TD) and High Volume Manufacturing (HVM), accelerating technology readiness, manufacturing maturity, yield improvement, and operational excellence across Intel's product and foundry ecosystem. MDCE partners across engineering organizations to transform manufacturing insights into scalable production solutions that enable Intel's foundry strategy and future growth.
As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the development, deployment, and adoption of advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI technologies that accelerate yield learning, improve process optimization, and increase engineering productivity across Intel Foundry.
The successful candidate will combine deep expertise in semiconductor manufacturing analytics, AI/ML methodologies, and software engineering with the ability to influence cross-functional stakeholders and drive innovation at scale.
Key Responsibilities:
  • Lead development of advanced AI, Machine Learning, and Generative AI solutions that address critical semiconductor manufacturing and yield challenges.
  • Drive adoption of AI technologies across MDCE and partner engineering organizations, enabling data-driven decision making and measurable business impact.
  • Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery.
  • Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root causes, and optimization opportunities.
  • Design and implement scalable data pipelines, analytics frameworks, and AI infrastructure that enable robust and sustainable manufacturing analytics.
  • Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology Development teams to solve complex semiconductor challenges.
  • Establish best practices for AI model development, software quality, deployment, monitoring, and lifecycle management.
  • Lead cross-functional technical initiatives and influence strategic AI roadmaps across multiple engineering organizations.
  • Mentor engineers and contribute to the growth of Intel's technical AI and Data Science community.
  • Support Intel Foundry's manufacturing excellence objectives through innovative applications of AI, machine learning, and advanced analytics.

Core Competencies
  • Ability to collaborate effectively within a team setting.
  • Excellent Communication Skills.

Qualifications:
The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
  • 6+ years of industry experience in one or more of the following: Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield analysis, root-cause analysis, process engineering analytics, and Statistical Process Control (SPC).
  • 5+ Years of Semiconductor industry experience with manufacturing, process, and yield-related challenges.
  • Strong programming experience in Python and SQL including developing scalable data pipelines and production-quality analytical solutions.
  • Experience leading cross-functional technical projects and driving business impact through data-driven solutions.

Preferred Qualifications
  • Post graduate degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
  • Experience driving AI transformation initiatives across large engineering organizations.
  • Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and Agentic AI architectures.
  • Experience deploying AI/ML solutions into production environments.
  • Experience developing APIs and microservices.
  • Semiconductor foundry experience.
  • Background in Yield Engineering, Process Integration, Process Development, or Manufacturing Engineering.
  • Proven track record mentoring engineers and providing technical leadership

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $136,900.00-269,150.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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