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About This Role
- Intel is seeking an AI Infrastructure 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 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 Workloads 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.
Requirements
- Currently pursuing 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.
- 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/Unix environments Git and software development workflows Docker or containerized applications Familiarity with: PyTorch, TensorFlow, or other AI frameworks LLMs, 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.
- 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: $133,498.00-133,502.00 USD 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.
Sourced directly from Intel’s career page
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666 positions
Job ID
/job/US-California-Santa-Clara/AI-Solution-Architect-Graduate-Intern_JR0287530
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