AI Software Intern, Summer 2027

GlobalFoundries

. Assist with integrating, deploying, testing, and scaling machine learning models, including large language, computer vision, and predictive models, within production-oriented AI pipelines .

Posted 10/21/2026full-timeUnited StatesEntry Level💰 $20 - $40 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in integrating and optimizing machine learning models within production-oriented AI pipelines, with strong skills in object-oriented programming and familiarity with major machine learning frameworks like PyTorch or TensorFlow. Proficient in software version control and capable of navigating complex technical challenges while effectively communicating solutions.

Highest-signal resume keywords

Machine Learning FrameworksObject-Oriented ProgrammingSoftware Version ControlAI Inference OptimizationCloud Systems Exposure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningObject-Oriented ProgrammingKernel OptimizationSystems ProgrammingPredictive ModelingComputer VisionLatency AnalysisMemory Usage AnalysisAI Model DeploymentPerformance Benchmarking

Soft Skills

Communication SkillsProject Management SkillsPlanning SkillsOrganizational SkillsProblem-Solving Skills

Tools & Technologies

PyTorchTensorFlowGitLabGitHubAWSAI-Assisted Development Tools

Industry Keywords

AI PipelinesEnvironmental Health SafetySecurity RequirementsEdge DevicesCloud Infrastructure

Tech Stack

Tools & technologies

AWSCloudPyTorchTensorflow

About the role

Key responsibilities & impact

Assist with integrating, deploying, testing, and scaling machine learning models, including large language, computer vision, and predictive models, within production-oriented AI pipelines
Analyze latency, memory usage, and computational footprint
Help optimize AI inference workflows for edge devices or cloud infrastructure
Use modern AI-assisted development tools for software prototyping, code development, testing, and debugging
Follow team engineering and review practices
Document engineering designs, experiment configurations, performance benchmarks, software interfaces, and API architectures
Perform activities safely and responsibly
Support Environmental, Health, Safety & Security requirements and programs

Requirements

What you’ll need

At least a sophomore at time of application and actively pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Data Science or related field through an accredited degree program during the internship
Overall GPA of at least 3.0 and good academic standing
Familiarity with at least one major machine learning framework, such as PyTorch or TensorFlow
Strong understanding of object-oriented programming
Software version control using GitLab, GitHub, or related tools
Ability to navigate ambiguous technical problems, learn new tools quickly, and communicate technical trade-offs effectively
English fluency (written and verbal)
Ability to work at least 40 hours per week during the internship
Prior related internship or co-op experience (preferred)
Demonstrated prior leadership experience (preferred)
Strong interest in leveraging AI tools and emerging technologies (preferred)
Project management skills (preferred)
Strong written and verbal communication skills (preferred)
Strong planning and organizational skills (preferred)
Familiarity with low-level, high-performance programming, such as kernel optimization, systems programming, or hardware accelerators (preferred)
Exposure to cloud systems such as AWS, and participation in AI/ML hackathons, open-source projects, or university research labs (preferred)

Benefits

Comp & perks

One-on-one mentorship
Work assignments that prioritize growth and potential
Professional development opportunities
Chance to network with executives