Design Enablement Engineer, Software Engineering AI/Machine Learning (2025 New College Graduate)
Global Foundries

About GlobalFoundries

GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

New College Graduates Overview:

We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills.

Summary of Role:

GLOBALFOUNDRIES is looking for a Software Engineer to participate in the architecture, development, and validation of advanced software that drives the development and validation of Process Design Kits (PDKs). This role provides opportunities in software development including advanced applications such as ML/AI, through the realization of critical solutions for GF's PDKs.

Essential Responsibilities include:

• Working with cross-functional teams to realize outstanding software solutions.
• Standardize design rule development and data consumption process.
• Analyze and transform existing design rules to ensure optimized, standard rule implementations.
• Identify the gaps in current design rule standards and create new standards.
• Drive solutions to improve the efficiency and robustness of design rule development and validation.
• Architecting and developing Python based software.
• Applying advanced concepts such as AI.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

• Education - Graduating with Bachelor's or Masters in Computer Science, Computer Engineering, Electrical Engineering or related field from an accredited degree program.
• Must have at least an overall 3.0 GPA and proven good academic standing.
• Language Fluency - English (Written & Verbal)
• Strong skills in Python
• Experience in applying AI

Preferred Qualifications:

• Prior related internship or co-op experience.
• Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
• Project management skills, i.e. the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
• Strong written and verbal communication skills
• Strong planning & organizational skills
• Strong skills in Python.
• Firsthand experience with revision tools, e.g., Git, Perforce, Clearcase.
• Experience with EDA (Electronic Design Automation) tools is a plus.
• Experience with applying AI solutions is a plus.

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Expected Salary Range
$52,500.00 - $107,000.00

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

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