AI Solution Architect - Undergraduate Intern - Oregon, Hillsboro, United States
$118,898 - $118,902 USD yearly
Originally posted 7 October 2026 by the employer.
About the role
This role involves supporting AI accelerator platforms, cluster deployments, system validation, and AI workload benchmarking as part of the AI Platforms team.
What you'll do
- Assist in deploying and validating AI accelerator systems and multi-node AI clusters.
- Support cluster bring-up activities, including system provisioning, software installation, and health verification.
- Execute performance benchmarks and collect system telemetry.
- Analyze hardware, firmware, driver, and software logs to identify failures.
- Deploy and evaluate AI models using frameworks such as PyTorch and vLLM.
- Develop Python-based tools to automate testing, monitoring, and data collection.
What you'll need
- Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or AI/ML or related fields.
- Experience with Python programming.
- Familiarity with Linux command line and system administration concepts.
- Understanding of computer architecture, operating systems, networking, or distributed systems.
- Demonstrated ability to solve complex engineering or technical problems through coursework, research, personal projects, robotics competitions, hackathons, open-source contributions, or previous internships.
- Strong analytical and problem-solving skills.
Nice to have
- Experience with Python, C/C++, or Bash scripting.
- Experience with Linux environments.
- Experience with Git and software development workflows.
- Experience with Docker or containerized applications.
- Familiarity with PyTorch, vLLM, SGlang, Llama.CPP.
- Familiarity with RAG, agentic AI, or generative AI applications.
- Familiarity with Cloud or cluster computing environments.
- Familiarity with GPU or AI accelerator technologies.
- Project experience in AI/ML applications, robotics systems, autonomous systems, computer vision, distributed computing, high-performance computing (HPC), or end-to-end AI solution development.
Skills: AI accelerator platforms, cluster deployments, AI workload benchmarking, system validation, firmware debugging
This role has been open 8 days — well below the 81-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
81 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Intel Corporation | All employers we track in this specialty (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 9 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 201 | 6156 · 145 employers |
| Median days open | 42 d | 81 d (−39 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: AI accelerator platforms, cluster deployments, AI workload benchmarking, system validation, firmware debugging
Who's hiring in this category
- Qualcomm · 102 open roles · median 107 d
- NVIDIA · 90 open roles · median 51 d
- AMD · 41 open roles · median 79 d
- Micron Technology · 27 open roles · median 66 d
- Analog Devices · 19 open roles · median 34 d
- Mobileye · 17 open roles · median 78 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 16 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.