About GlobalFoundries

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power‑efficient and high‑performance solutions for high‑growth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity, and sustainability. 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:

Based in Plano, Texas, the Systems Engineering team is seeking a new college graduate to support robotics and intelligent systems development. The engineer will help ensure hardware, software, kinematics, and AI frameworks operate together effectively through system design, integration, validation, and performance optimization.

Essential Responsibilities include:

• Perform integrated design and simulation activities using industry-standard tools to evaluate how AI models interact with robotic systems before deployment.
• Support sensor fusion and perception development by integrating and calibrating vision, touch sensors, and motor-control systems.
• Contribute to system requirements definition and architecture development, including data flows between compute platforms, sensors, motors, and neural-network controllers.
• Develop prototypes and execute testing and validation activities, including hardware-in-the-loop testing, to ensure reliable real-world performance.

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 Master’s degree in Electrical Engineering, Computer Engineering, Computer Sciences 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)

Preferred Qualifications:

• Prior related internship or co-op experience.
• Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
• Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.
• Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.
• Strong written and verbal communication skills.
• Strong planning & organizational skills.
• Experience with robotics frameworks such as ROS2, MoveIt, or Drake.
• Experience with Python, C/C++, AI/ML frameworks, embedded systems, MATLAB/Simulink, Docker, or related systems-engineering tools.

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Expected Salary Range

$72,000.00 - $124,800.00

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.