AI/ML Systems Engineer (2027 New College Graduate) - Richardson, Texas, United States of America, United States
$86,000 - $148,000 USD yearly
Originally posted 19 October 2026 by the employer.
About the role
The AI/ML Systems Engineer will advance workload characterization and performance modeling across machine learning systems. You will own quantitative analyses that connect workload behavior to hardware and software design decisions while communicating results across architecture, compiler, runtime, and product teams.
What you'll do
- Characterize AI/ML workloads across inference and training, quantify compute and memory behavior, and identify bottlenecks using methods such as roofline analysis, operational intensity profiling, and bottleneck decomposition. - Build and validate analytical or code-based models that estimate achievable throughput, latency, utilization, bandwidth consumption, and efficiency for real or projected hardware. - Partner with hardware, compiler, and runtime engineers to translate workload findings into architectural and software optimization discussions, including memory subsystem sizing, scheduling, kernel optimization, and data layout tradeoffs. - Own benchmarking or modeling efforts end to end, maintain clear and reproducible analysis artifacts, and communicate conclusions through written reports, presentations, and design reviews. - Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
What you'll need
- Graduating with Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, or related field from an accredited degree program. - At least an overall 3.0 GPA and proven good academic standing. - Strong mathematical reasoning, including the ability to apply linear algebra, probability, and numerical analysis to performance estimation and numerical precision questions. - Working understanding of computer architecture concepts, including cache hierarchies, memory bandwidth, and CPU pipeline fundamentals. - Experience with Python and data analysis tooling such as NumPy, pandas, matplotlib, or similar. - Exposure to machine learning frameworks such as PyTorch or TensorFlow. - Fluency in English (written and verbal) and ability to travel up to 10%.
Nice to have
- Prior related internship or co-op experience. - Familiarity with the roofline model, FLOP counting, operator-level profiling, quantization analysis, or performance KPI frameworks. - Exposure to compilation or intermediate representation concepts, including MLIR, IREE, TVM, or similar AI compiler infrastructure. - Demonstrated prior leadership experience in the workplace, school projects, or competitions.
Skills: AI/ML workloads, inference and training, computer architecture, hardware, compiler, runtime engineers
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, inference and training, computer architecture, hardware, compiler, runtime engineers
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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