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Scientific Computing Internship Jobs in Arizona (NOW HIRING)

... computing platforms. Within APTM, the Assembly Technology Development (ATD) team pioneers ... Master's degree in mechanical engineering, Materials Science, Electrical Engineering, Physics ...

Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or ... Science, Electrical Engineering, Physics/Applied Physics, or a related field. Minimum cumulative ...

... cloud computing, AI, and autonomous driving. But we're more than just a tech company. We value ... Bachelor's degree in Chemical Engineering, Materials Science, Chemistry, Physics, Mechanical ...

CPU RTL Design Engineer

Phoenix, AZ · On-site

$141K - $269K/yr

... internship experiences. Minimum Qualifications ... Bachelor's degree in electrical engineering, computer engineering, or computer science with 7+ ...

Showing results 21-38

Scientific Computing Internship information

What is a scientific computing internship?

A Scientific Computing Internship is a temporary position where students or recent graduates work on projects involving computational methods to solve scientific problems. Interns typically assist with programming, data analysis, mathematical modeling, and using specialized software to support research in fields like physics, biology, or engineering. The internship provides hands-on experience with real-world scientific challenges, often in academic, government, or industry research settings. These opportunities help interns develop technical skills, gain exposure to the research process, and build professional networks in the scientific computing field.

What types of projects might I work on during a scientific computing internship?

As a Scientific Computing Intern, you may be involved in projects such as developing simulation models, optimizing computational algorithms, or analyzing large datasets for scientific research. Interns often collaborate closely with researchers and software engineers, contributing to code development, data processing, or scientific visualization tasks. These projects provide hands-on experience with programming languages like Python, MATLAB, or C++, and exposure to high-performance computing environments. The collaborative and interdisciplinary nature of the work allows you to build both technical and teamwork skills which are valuable for future roles in academia or industry.

What are the key skills and qualifications needed to thrive as a scientific computing intern, and why are they important?

To thrive as a Scientific Computing Intern, you generally need a solid background in mathematics, programming (often Python, C++, or MATLAB), and data analysis, typically supported by coursework in computer science or a related STEM field. Familiarity with scientific computing tools and libraries such as NumPy, SciPy, and version control systems like Git is common, and experience with high-performance computing environments is a plus. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with research teams and present complex findings clearly. These qualifications are crucial for efficiently supporting research projects and contributing to innovative scientific solutions.

What is the difference between Scientific Computing Internship vs Data Analyst Internship?

AspectScientific Computing InternshipData Analyst Internship
Required CredentialsTypically requires a background in computer science, mathematics, or engineering; familiarity with programming languages like Python, C++, or MATLABUsually requires a degree in statistics, mathematics, or related fields; skills in SQL, Excel, and data visualization tools
Work EnvironmentResearch labs, academic institutions, or R&D departments within tech or engineering firmsBusiness settings, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in scientific research, simulations, and modeling projectsApplied in business analytics, reporting, and data-driven decision making

While both internships involve working with data and computational tools, Scientific Computing Internships focus on scientific research, simulations, and technical problem-solving, whereas Data Analyst Internships emphasize analyzing business data to inform decisions. The choice depends on your career interests in research versus business analytics.

What are the most commonly searched types of Scientific Computing jobs in Arizona?

The most popular types of Scientific Computing jobs in Arizona are:

What are popular job titles related to Scientific Computing Internship jobs in Arizona?

For Scientific Computing Internship jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Scientific Computing Internship jobs in Arizona look for?

The top searched job categories for Scientific Computing Internship jobs in Arizona are:

What cities in Arizona are hiring for Scientific Computing Internship jobs?

Cities in Arizona with the most Scientific Computing Internship job openings:

Infographic showing various Scientific Computing Internship job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Packaging Module Development Engineer

Intel

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Re-posted 15 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 159 rated electronics manufacturers


Job description

Job Details:Job Description: 

The Advanced Packaging Technology Manufacturing (APTM) division at Intel is responsible for the development and commercialization of industry-leading semiconductor packaging technologies for mobile, edge, and hyperscale computing platforms. Within APTM, the Assembly Technology Development (ATD) team pioneers innovative package assembly solutions and scales them for high-volume manufacturing.


As a Packaging Module Development Engineer, you will:


Contribute to the advancement of technology and foundry capabilities by developing First Level Interconnect (FLI) to support Intel's future packaging platforms.
Collaborate with multifunctional, cross organizational teams to optimize assembly processes for quality, reliability, cost, yield, productivity, and manufacturability.
Drive innovation in next generation equipment, materials, and fabrication processes to scale advanced semiconductor packaging capabilities
Lead equipment development activities, including pathfinding, new equipment definition, selection, technology development, and transition to high volume manufacturing.
Manage projects to ensure alignment with product development schedules and execution milestones.
Apply sound engineering principles, formal education, and professional judgment to resolve complex technical challenges.
Provide sustaining engineering support to maintain equipment performance and process health in high volume manufacturing environments
Respond effectively and with urgency to foundry customer requests, escalations, and manufacturing events
The ideal candidate should demonstrate:


Technical leadership, strategic planning, and critical thinking.
Ability to coach and develop technical teams.
Tolerance for ambiguity and adaptability in a dynamic environment.
Flexibility in managing changing priorities and responsibilities.
Experience leading teams in a highly matrixed organization.
Initiative and ability to work independently.
Strong communication, influencing, technical, and analytical skills.
This position requires regular onsite presence.

Qualifications:

You must possess the minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:


Master's degree in Mechanical Engineering, Materials Science, Electrical Engineering, Physics/Applied Physics, or a related field with 3+ years of experience or PhD in Mechanical Engineering, Materials Science, Electrical Engineering, Physics/Applied Physics, or a related field.


Experience listed above should be a combination of the following:

Programming/script (e.g., Python, MATLAB) development with artificial intelligence and machine learning concepts.
Preferred Qualifications:


One or more years of experience in one or more of the following areas:
Technology development, including familiarity with Statistical Process Control (SPC) and/or Design of Experiments (DOE)
Delivery of results for complex, time-critical technical projects.
Semiconductor fabrication processes and technologies.
Prior related work experience within a semiconductor foundry.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:Business group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.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 TrustN/ABenefits

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: $115,110.00-219,550.00 USDThe 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 require an on-site presence. * 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

Pay

Benefits

Hours and flexibility

Workplace

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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