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Physics Informed Machine Learning Jobs in Arizona

TSMC

Manufacturing and AMHS Managers

Phoenix, AZ · On-site

Understanding of machine learning/deep learning * Strong knowledge of Statistical Process Control ... Solid technical understanding of IC processing equipment, integrated flow, chemistry, and physics ...

TSMC

Manufacturing and AMHS Managers

Phoenix, AZ · On-site

Understanding of machine learning/deep learning * Strong knowledge of Statistical Process Control ... Solid technical understanding of IC processing equipment, integrated flow, chemistry, and physics ...

Pwc

CTIO AI Engineering Manager

Phoenix, AZ

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Deloitte

AI Senior Manager - SFL Scientific

Tempe, AZ · On-site

Required : • Master's or PhD in Computer Science, Engineering, Physics, or related STEM field • ... in machine learning, deep learning, NLP, GenAI/LLMs, & AI program governance • 6+ years of ...

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Physics Informed Machine Learning information

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Arizona? For Physics Informed Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Arizona look for? The top searched job categories for Physics Informed Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Physics Informed Machine Learning jobs? Cities in Arizona with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Arizona as of June 2026, with employment types broken down into 1% Locum Tenens, 83% Full Time, 12% Part Time, 2% Contract, and 2% Nights. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.
Packaging Module Development Engineer

Packaging Module Development Engineer

Intel

Phoenix, AZ

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

8th of 139 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

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Benefits

Hours and flexibility

Workplace

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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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