AI Solution Architect - Undergraduate Intern

Intel CorporationIntel CorporationHillsboro, Oregon, United States
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Posted

10/7/2026

Employment

Full time, Internship

Range

$119k - $119k/year

Work style

On-site

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AI summary

Core responsibilities

Support deployment, validation, and operation of AI accelerator systems and multi-node clusters, including benchmarking workloads, collecting telemetry, and troubleshooting hardware, firmware, software, and networking issues. Develop automation and diagnostic tools, contribute to validation and root-cause investigations, and help integrate hardware, software, and AI models into end-to-end solutions.

Requirements overview

Applicants must be pursuing a bachelor's degree in computer science, computer engineering, electrical engineering, data science, AI/ML, or a related field, and have Python experience plus familiarity with Linux. They should understand computer architecture, operating systems, networking, or distributed systems, demonstrate strong problem-solving skills, and be able to work independently and collaboratively.

Key skills

PythonLinuxComputer ArchitectureSystem AdministrationNetworkingDistributed SystemsC/C++Bash ScriptingGitDockerPyTorchVLLMAI Cluster OperationsSystem DebuggingAI Workload BenchmarkingAutomation

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Education requirements

bachelor degree

About Intel Corporation

Industry

Semiconductor Manufacturing

Employees

109,902

Type

Public Company

Size

10,001+ employees

Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone. • Need help or have a support question? Visit Intel Support: http://ms.spr.ly/6054tmaop .

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Job categories

TechnologySoftwareEngineeringData & AnalyticsScience & Research

Description

Job Details: Job Description: Intel is seeking an AI Solution Architect Intern to join our AI Platforms team. As an intern, you will work alongside experienced engineers to support AI accelerator platforms, cluster deployments, system validation, and AI workload benchmarking. This role provides hands-on experience across AI infrastructure, system software, cluster operations, firmware debugging, and end-to-end AI solution development. The ideal candidate is passionate about AI systems, computer architecture, Linux, and large-scale computing environments, and enjoys solving complex technical problems. Responsibilities to include: AI Infrastructure and Cluster Operations: 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. Help troubleshoot system, networking, and software issues in AI environments. System Debugging and Validation: Analyze hardware, firmware, driver, and software logs to identify failures. Assist with validation of BIOS, firmware, and system software configurations. Support development of test plans and automated validation workflows. Participate in root-cause investigations of system performance and stability issues. AI/ML Work loads: 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. Automation and Tool Development: 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. End-to-End AI Solutions Participate in building end-to-end AI solutions, such as generative AI, agentic AI, computer vision, robotics, or intelligent automation projects. Work with cross-functional teams to integrate hardware, software, AI models, and applications into complete solutions. Qualifications: Minimum Qualifications 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. Ability to work independently and collaborate in a team environment. Preferred Qualifications - Technical Skills - Experience with: Python, C/C++, or Bash scripting Linux environments Git and software development workflows Docker or containerized applications Familiarity with: • PyTorch, vLLM, SGlang, Llama.CPP • RAG, agentic AI, or generative AI applications • Cloud or cluster computing environments • GPU or AI accelerator technologies Project Experience - Coursework, research, personal projects, or internships involving: AI/ML applications Robotics systems Autonomous systems Computer vision Distributed computing High-performance computing (HPC) End-to-end AI solution development Soft Skills: Strong communication and presentation skills. Curiosity and willingness to learn new technologies. Ability to diagnose problems systematically and communicate findings clearly. What You Will Learn: AI accelerator and cluster architecture AI infrastructure deployment and operations System-level debugging and performance optimization AI model deployment and benchmarking Automation, monitoring, and validation frameworks Customer-facing AI solution development and deployment best practices Job Type: Student / Intern Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel. Annual Salary Range for jobs which could be performed in the US: $118,898.00-118,902.00 USD (Hourly Role) The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Requirements

  • •Python
  • •Linux
  • •Computer Architecture
  • •System Administration
  • •Networking
  • •Distributed Systems
  • •C/C++
  • •Bash Scripting
  • •Git
  • •Docker
  • •PyTorch
  • •VLLM
  • •AI Cluster Operations
  • •System Debugging
  • •AI Workload Benchmarking
  • •Automation

Benefits

  • •Health Benefits
  • •Retirement Benefits
  • •Vacation
  • •Stock Bonuses

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