$133,498 - $133,502 USD yearly
Originally posted 5 October 2026 by the employer.
About the role
This role involves supporting AI accelerator platforms, cluster deployments, system validation, and AI workload benchmarking.
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 Master's 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.
Nice to have
- Experience with Python, C/C++, or Bash scripting.
- Experience with Linux/Unix environments.
- Experience with Git and software development workflows.
- Experience with Docker or containerized applications.
- Familiarity with PyTorch, TensorFlow, or other AI frameworks.
- Familiarity with LLMs, RAG, agentic AI, or generative AI applications.
- Familiarity with Cloud or cluster computing environments.
- Familiarity with GPU or AI accelerator technologies.
- Project experience involving AI/ML applications.
- Project experience involving Robotics systems.
- Project experience involving Autonomous systems.
- Project experience involving Computer vision.
- Project experience involving Distributed computing.
- Project experience involving High-performance computing (HPC).
- Project experience involving End-to-end AI solution development.
Skills: AI accelerator platforms, cluster deployments, system validation, AI workload benchmarking, Linux, PyTorch
This role has been open 3 days — well below the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
912
|
Median days open
51 d
|
Median salary
$229k
|
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 (912 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 35 | 912 |
| Open roles in the wider Software, Firmware & Systems family | 188 | 6047 · 146 employers |
| Median days open | 17 d | 51 d (−34 d vs this employer) |
| Median salary (USD postings) | — | $229k |
Skills observed across this category: AI accelerator platforms, cluster deployments, system validation, AI workload benchmarking, Linux, PyTorch
Who's hiring in this category
- NVIDIA · 250 open roles · median 49 d
- Qualcomm · 60 open roles · median 61 d
- AMD · 51 open roles · median 28 d
- Cerebras · 40 open roles · median 74 d
- Graphcore · 38 open roles · median 101 d
- Intel Corporation (this employer) · 33 open roles · median 21 d
How we counted: 912 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 9 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.