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, powerefficient and highperformance solutions for highgrowth 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:
GlobalFoundries is seeking an early-career AI Software Engineer to bridge cutting-edge machine learning capabilities and scalable software production. The engineer will build, optimize, test, and deploy AI models within an AI platform while contributing across the AI inference software lifecycle and collaborating with software, machine learning, and hardware architecture teams.
Essential Responsibilities include:
- Integrate, deploy, test, and scale machine learning models, including large language, computer vision, and predictive models, within production-oriented AI pipelines.
- Profile latency, memory usage, throughput, and computational footprint, and optimize AI inference workflows for edge devices or cloud infrastructure.
- Design and implement maintainable software components and APIs, using modern AI-assisted development tools to accelerate prototyping, testing, debugging, and code review while following team engineering practices.
- Own technical documentation for engineering designs, experiment configurations, performance benchmarks, software interfaces, and API architectures, and communicate results and trade-offs to cross-functional teams.
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 a Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Data Science or related field from an accredited degree program.
- Must have at least an overall 3.0 GPA and proven good academic standing.
- Experience with at least one major machine learning framework, such as PyTorch or TensorFlow.
- Strong object-oriented programming fundamentals and experience with software version control using GitLab, GitHub, or related tools.
- Demonstrated ability to navigate ambiguous technical problems, learn new tools quickly, and communicate technical trade-offs effectively.
- 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 on solutions that matter; the ability to navigate ambiguity.
- Strong written and verbal communication skills
- Strong planning & organizational skills
- Familiarity with low-level, high-performance programming, such as kernel optimization, systems programming, or hardware accelerators.
- Exposure to cloud systems such as AWS, and participation in AI/ML hackathons, open-source projects, or university research labs.
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Expected Salary Range
$72,000.00 - $141,700.00The 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 [email protected] 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
GlobalFoundries San Jose, California, USA Office
2870 Zanker Road, San Jose, United States, 95134
GlobalFoundries Santa Clara, California, USA Office
2600 Great America Way, Santa Clara, CA 95054, Santa Clara, United States, 95054
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