Intern - AI Hardware and Memory Systems - Folsom, CA, United States
$104,499 - $104,499 USD yearly
Originally posted 15 September 2026 by the employer — open 3 days.
About the role
This role involves researching and prototyping advanced memory and system architecture concepts for AI accelerators.
What you'll do
- Research and evaluate advanced memory and system architecture concepts for AI accelerators.
- Develop and analyze performance models to assess bandwidth, latency, power, scalability, and overall system efficiency.
- Analyze AI training, inference, and HPC workloads to identify memory and system performance bottlenecks.
- Investigate memory hierarchy, HBM, DRAM, cache, storage, and interconnect optimizations to improve system performance.
- Collaborate with cross-functional engineering teams and explore AI/LLM-based tools to enhance architecture research and development workflows.
What you'll need
- Currently pursuing a PhD in Computer Architecture, Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
- 0-2 years of relevant experience in computer architecture, memory systems, or AI hardware.
- Knowledge of memory system architecture, including caches, HBM, DRAM, memory hierarchy, and interconnect concepts.
- Experience with performance modeling, architectural simulation, system analysis, or related research methodologies.
- Programming experience in Python, C++ or similar programming languages.
Nice to have
- Research experience in AI accelerators, GPU architecture, memory systems, interconnects, or high-performance computing.
- Experience with AI/ML frameworks such as PyTorch, TensorFlow, or CUDA-based development environments.
- Familiarity with architectural simulators, SystemC, GPU profiling tools, emulation platforms, or performance analysis tools.
- Knowledge of rack-scale systems, scale-up/scale-out architectures, and advanced interconnect technologies.
- Publications, conference papers, or demonstrated research contributions in computer architecture, AI hardware, memory systems, or related fields.
Skills: AI accelerators, memory systems, performance models, HBM, interconnects
This role has been open 3 days — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
518
|
Median days open
65 d
|
Median salary
$229k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (518 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 32 | 518 |
| Open roles in the wider Software, Firmware & Systems family | 258 | 5796 · 143 employers |
| Median days open | 37 d | 65 d (−28 d vs this employer) |
| Median salary (USD postings) | — | $229k |
Skills observed across this category: AI accelerators, memory systems, performance models, HBM, interconnects
Who's hiring in this category
- Qualcomm · 106 open roles · median 97 d
- NVIDIA · 85 open roles · median 65 d
- AMD · 43 open roles · median 60 d
- Micron Technology (this employer) · 32 open roles · median 37 d
- Mobileye · 25 open roles · median 51 d
- Analog Devices · 14 open roles · median 22 d
How we counted: 518 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 19 Sept 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.