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Science Engineer Jobs in Phoenix, AZ (NOW HIRING)

Intel Corporation

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Intel

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

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 ...

Deloitte

Lead AI and Data Science Engineer II

Tempe, AZ · On-site

$98K - $129K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

United States Army

Environmental Science Officer

Mesa, AZ · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Army Environmental Science / Engineering Officers diligently work to safeguard our nation's heroes and their families from health hazards. As a professional in the environmental science or ...

United States Army

Environmental Science Officer

Tempe, AZ · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Army Environmental Science / Engineering Officers diligently work to safeguard our nation's heroes and their families from health hazards. As a professional in the environmental science or ...

United States Army

Environmental Science Officer

Peoria, AZ · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Army Environmental Science / Engineering Officers diligently work to safeguard our nation's heroes and their families from health hazards. As a professional in the environmental science or ...

Medtronic

Software Engineering Intern - Summer 2027

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/Data Science Engineer * Develops and programs integrated software algorithms to structure, analyze, and leverage data in product and system applications. * Develops and communicates descriptive ...

Medtronic

Software Engineering Intern - Summer 2027

Tempe, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI/Data Science Engineer * Develops and programs integrated software algorithms to structure, analyze, and leverage data in product and system applications. * Develops and communicates descriptive ...

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All JobsScience Engineer JobsScience Engineer Jobs in Phoenix, AZ

Science Engineer information

What are the key skills and qualifications needed to thrive as a science engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What is a science engineer?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges science engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.

What are popular job titles related to Science Engineer jobs in Phoenix, AZ?

For Science Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Science Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Science Engineer jobs in Phoenix, AZ are:

Science Engineer jobs near you
Infographic showing various Science Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

Senior AI / Data Science Engineer

Intel Corporation

Phoenix, AZ • On-site

$105K - $143K/yr

Full-time

Medical, Retirement, PTO

Posted 14 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 157 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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