GlobalFoundries

AI/ML Systems Engineer, (2026 New College Graduate)

USA - Texas - Richardson, USA · Internship

Sponsorship not specified$72k-$125kDetected 28 days ago

PythonMachine LearningNLPA/B TestingProject ManagementSystems EngineeringLeadershipCommunicationMentoringPublic SpeakingOrganizational Skills

About the role

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.

You will independently study AI/ML workloads across the inference and training stack - including CNNs, transformers, recurrent architectures, and emerging model classes - and build quantitative models of their behavior on real and projected hardware.
You will work closely with SoC and IP architecture teams to map workload demands to hardware capabilities and feed your findings into discussions around design tradeoffs, ISA extensions, memory subsystem sizing, and on-chip vs. off-chip bandwidth allocation.
You will communicate findings through written reports, presentations, and design review participation. Clarity and rigor in your technical communication are as important as the analysis itself.

With 0-2 years of relevant industry experience in systems engineering, hardware architecture, ML infrastructure, or performance engineering.
Must have at least an overall 3.0 GPA and proven good academic standing.

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 solutions that matter
the ability to navigate ambiguity.
Strong written and verbal communication skills
Strong planning & organizational skills
Strong mathematical reasoning is a firm requirement.
The ability to move fluidly between mathematical formulation and engineering intuition is central to doing this job well.

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

A significant part of the role involves estimation and modeling before silicon is available - building spreadsheet or code-based models that project achievable throughput, latency, and efficiency for candidate architectures, then validating those models against silicon or simulation data.

This listing is sourced directly from GlobalFoundries's careers page and normalized into a canonical job model.