AI/ML Systems Engineering Intern (Summer 2027) - Richardson, Texas, United States of America, United States
$20 - $40 USD yearly
Originally posted 19 October 2026 by the employer.
About the role
GlobalFoundries is seeking an AI/ML Systems Engineering Intern to characterize machine learning workloads and analyze how their compute and memory demands map to hardware resources.
What you'll do
- Run and interpret performance experiments for AI/ML workloads, including classical inference pipelines and modern model architectures, using reproducible analysis methods. - Build analytical models to estimate throughput, latency, utilization, operational intensity, and memory bandwidth requirements to identify compute or memory bottlenecks. - Collaborate with hardware and software engineers to connect workload behavior with architectural decisions across cache, memory subsystems, runtime, and compilers. - Present findings through concise reports, visualizations, and technical discussions, progressing toward independent ownership of a workload characterization study. - Perform all activities supporting Environmental, Health, Safety & Security requirements and programs.
What you'll need
- Active enrollment as at least a sophomore pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field with an overall GPA of 3.0 or higher. - Coursework or project experience applying linear algebra, probability, numerical analysis, or related mathematical methods to engineering or computing problems. - Working understanding of computer architecture concepts such as cache hierarchies, memory bandwidth, and CPU pipeline fundamentals. - Experience using Python and data analysis tools such as NumPy, pandas, matplotlib, or similar. - Ability to work 40 hours per week during the internship and travel up to 10%.
Nice to have
- Prior related internship or co-op experience. - Exposure to PyTorch or TensorFlow, including concepts such as FLOP counting, operator-level profiling, or the roofline model. - Exposure to compilation, intermediate representations, or AI compiler toolchains such as MLIR, IREE, TVM, or similar.
Skills: AI/ML workloads, computer architecture, cache hierarchies, memory bandwidth, CPU pipeline
This role has been open 0 days — well below the 84-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
84 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | GlobalFoundries | All employers we track in this specialty (507 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 7 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 45 | 6166 · 145 employers |
| Median days open | 102 d | 84 d (+18 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI/ML workloads, computer architecture, cache hierarchies, memory bandwidth, CPU pipeline
Who's hiring in this category
- Qualcomm · 99 open roles · median 115 d
- NVIDIA · 91 open roles · median 54 d
- AMD · 41 open roles · median 82 d
- Micron Technology · 28 open roles · median 61 d
- Analog Devices · 19 open roles · median 37 d
- Mobileye · 17 open roles · median 81 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 19 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.
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