$96,740 - $116,100 USD yearly
Originally posted 1 October 2026 by the employer.
About the role
What you'll do
- Develop and enhance software frameworks, simulation environments, and automation tools for DRAM architecture research and evaluation.
- Design and implement AI-assisted workflows for simulation generation, experiment automation, data analysis, and technical documentation.
- Analyze memory architectures, including DRAM, LPDDR, DDR6, MRDIMM, CAMM, and emerging memory technologies, using modeling and simulation techniques.
- Perform performance, power, bandwidth, latency, and workload characterization studies.
- Collaborate with architects and researchers to document methodologies and present findings.
What you'll need
- 0-2 years of relevant experience in computer architecture, memory systems, simulation, AI, or software development.
- Currently pursuing a Master's or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
- Experience programming in Python, C++ or similar languages for software development, simulation, automation, or data analysis.
- Familiarity with computer architecture, memory systems, performance analysis, modeling, simulation, or systems research.
- Demonstrated ability to leverage AI-enabled tools to improve productivity, technical analysis, problem-solving, and engineering workflows.
- Experience using generative AI platforms such as Microsoft Copilot, GPT, Claude, Gemini, or similar technologies.
Nice to have
- Experience developing AI agents, AI-assisted automation workflows, Retrieval-Augmented Generation (RAG) systems, or LLM-based engineering tools.
- Familiarity with AI workflow orchestration, prompt engineering, agentic workflows, and automation frameworks.
- Experience integrating AI capabilities into scientific computing, simulation platforms, data analytics environments, or research workflows.
- Knowledge of memory architectures such as DRAM, LPDDR, DDR6, MRDIMM, CAMM, HBM, or emerging memory technologies.
- Experience with architectural simulators, performance modeling, workload characterization, benchmarking, or design-space exploration.
- Research experience in computer architecture, memory systems, AI infrastructure, high-performance computing, or data center technologies.
- Publications, conference presentations, patents, or demonstrated research contributions in relevant technical fields.
Skills: DRAM architecture, memory architectures, simulation environments, AI-assisted workflows, performance analysis
This role has been open 4 days — well below the 75-day median for SoC/Chip Architecture roles.
SoC/Chip Architecture · SOC Architecture
|
Open roles in category
442
|
Median days open
75 d
|
Median salary
$236k
|
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 (442 roles · 64 employers) |
|---|---|---|
| Open roles in this specialty | 18 | 442 |
| Open roles in the wider Digital Design & Verification family | 103 | 3109 · 114 employers |
| Median days open | 121 d | 75 d (+46 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: DRAM architecture, memory architectures, simulation environments, AI-assisted workflows, performance analysis
Who's hiring in this category
- Qualcomm · 71 open roles · median 82 d
- NVIDIA · 57 open roles · median 59 d
- AMD · 36 open roles · median 61 d
- Arm Holdings · 27 open roles · median 102 d
- Renesas Electronics · 22 open roles · median 59 d
- NXP Semiconductors · 20 open roles · median 104 d
How we counted: 442 open SoC/Chip Architecture (SOC Architecture) roles from 64 employers tracked in the SemiconductorJobs index, counted 5 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 Digital Design & Verification family row. Figures refresh nightly.