About the role#
Intel is seeking an AI Infrastructure Solution Architect Intern to join the AI Platforms team. You will work with engineers to support AI accelerator platforms, cluster deployments, system validation, and AI workload benchmarking. This role offers hands-on experience with AI infrastructure, system software, cluster operations, firmware debugging, and end-to-end AI solution development.
What you'll do#
- Deploy and validate 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.
- Troubleshoot system, networking, and software issues in AI environments.
- Analyze hardware, firmware, driver, and software logs to identify failures.
- Assist with validation of BIOS, firmware, and system software configurations.
- Support the development of test plans and automated validation workflows.
- Participate in root-cause investigations of system performance and stability issues.
- Deploy and evaluate AI models using frameworks such as PyTorch and vLLM.
- Benchmark AI workloads and identify performance bottlenecks.
- Assist in reproducing customer-reported issues in lab environments.
- Contribute to optimization studies for AI inference and training workloads.
- Develop Python-based tools to automate testing, monitoring, and data collection.
- Create dashboards, scripts, and utilities for cluster management and diagnostics.
- Contribute to documentation, runbooks, and technical knowledge bases.
- Participate in building end-to-end AI solutions and work with cross-functional teams to integrate hardware, software, and applications.
What you'll need#
- Current enrollment in a Master's program for Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field.
- Proficiency in Python programming and familiarity with Linux command line and system administration.
- Understanding of computer architecture, operating systems, networking, or distributed systems.
- Ability to solve complex engineering problems and work independently or within a team.
- Experience with C/C++, Bash scripting, Git, and software development workflows.
- Experience with Docker or containerized applications.
- Familiarity with AI frameworks like PyTorch or TensorFlow.
- Familiarity with LLMs, RAG, agentic AI, or generative AI applications.
- Familiarity with cloud or cluster computing environments and GPU or AI accelerator technologies.
- Project experience in areas such as robotics, autonomous systems, computer vision, or high-performance computing.
- Strong communication skills and a willingness to learn new technologies.
Location & details#
- Location: Santa Clara, California, USA.
- Work Modality: On-site.
- Employment Type: Full-time.
- Term: Rolling.
About Intel Corporation
Intel Corporation designs and manufactures semiconductors. The company focuses on artificial intelligence, autonomous driving, and non-volatile memory solutions. It operates as a public company with over 110,000 employees. The headquarters are in Santa Clara, California, with major office locations across the United States, Israel, France, Singapore, and Poland.
How to get in at Intel Corporation
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