Early-Career AI Software Engineer: ML Inference & Scale

GlobalFoundries inc.; California; On-site; USD 72,000 - 142,000; Full time

Job summary

GlobalFoundries is seeking an early-career AI Software Engineer to bridge cutting-edge machine learning capabilities and scalable software production. The role will build, optimize, test, and deploy AI models within an AI platform, collaborating with software, ML, and hardware teams.

As a new college graduate, you will join a mentored program with cross-functional exposure, accelerated training, and opportunities for mobility across teams in the United States, including California.

Qualifications

• Education: Bachelor's, Master's, or PhD in CS, CE, Data Science or related field.
• GPA of 3.0 or higher.
• Experience with PyTorch or TensorFlow.
• Strong object-oriented programming fundamentals and GitLab/GitHub version control.
• English language proficiency in writing and speaking.

Responsibilities

• Integrate, deploy, test, and scale ML models within production AI pipelines.
• Profile latency, memory usage, throughput, and optimize AI inference workflows for edge or cloud.
• Design and implement maintainable software components and APIs with modern AI-assisted development tools.
• Own documentation for designs, experiment configs, performance benchmarks, interfaces, and API architectures.

Skills

Machine learning frameworks

OOP fundamentals

English fluency

Education

Bachelor/Master/PhD in CS/CE/Data Science

Tools

Git (GitLab / GitHub)

Job description

GlobalFoundries is seeking an early-career AI Software Engineer to bridge cutting-edge machine learning capabilities and scalable software production. The role will build, optimize, test, and deploy AI models within an AI platform, collaborating with software, ML, and hardware teams.

As a new college graduate, you will join a mentored program with cross-functional exposure, accelerated training, and opportunities for mobility across teams in the United States, including California.