Architect Internships
Architect internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working architects, and, at many employers, a path toward a full-time offer. Openings are concentrated across {{top_industries_phrase}}, with Verizon, Intel Corporation, and Amazon Web Services among the employers posting roles now.
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Showing 5 of 22+ Architect Internships
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 / InternShift:
Shift 1 (United States of America)Primary Location:
US, Oregon, HillsboroAdditional 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/ABenefits
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 .
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.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 / InternShift:
Shift 1 (United States of America)Primary Location:
US, Oregon, HillsboroAdditional 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/ABenefits
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 .
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.Architect Internship Market
Who's Hiring
Tips for Your Architect Internship Search
Apply earlier than your classmates do
Large architecture firms and corporate design studios recruit summer interns the preceding fall, often closing applications before winter break. Smaller studios and co-op programs post closer to their start dates. Checking listings in September and continuing through spring means you catch both cycles without missing the early wave.
Build a portfolio before you apply
Hiring teams for architect internships evaluate candidates on project work, not job history. Assemble two or three complete studio or personal projects showing design development, technical drawings, and software output in tools like Revit, AutoCAD, or Rhino. A linked or PDF portfolio gives reviewers something concrete to assess when your resume is light on experience.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied to your university, and professors and career center staff often know which firms recruit from your school before roles post publicly. Applying directly to smaller studios running their own cohorts alongside campus activity widens the pool you reach without waiting for a fair date.
Practice the architect intern interview format out loud
Architect intern interviews typically include a portfolio review where you walk through design decisions and defend your process, plus questions on technical software and problem-solving under constraints. Practice presenting your portfolio out loud, explaining your reasoning at each step, since interviewers weigh how you think through a design problem as much as the finished output.
Target structured internship and AXP-affiliated programs early
Larger firms running formal cohorts tied to the Architectural Experience Program recruit early through university partnerships and fill their spots fast. Identify firms in your target market that run AXP-affiliated programs, confirm their application windows in the fall, and apply in the first wave rather than treating them as a backup option.
Set your work-type filter before you start
On-site roles are 29% of the architect internships listed here. Decide what you can commit to before you begin reviewing openings, then filter by location and work type so you're not sorting through roles that don't fit your situation. Applying only to roles you can actually accept keeps your effort focused and your response rate higher.
Architect Internships: Frequently Asked Questions
How do I get an architect internship?
Lead with coursework, studio projects, and a design portfolio rather than work history, hiring teams expect limited experience at the intern level, and a strong portfolio gives recruiters something concrete to assess for architect candidates. Combine direct applications to firms and studios with campus career fairs, where recruiters often move faster for students they meet in person.
Can an architect internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it is consistent performance on real project work, the firm's headcount at the end of the season, and whether you express continued interest early. Position for a return offer by treating every assignment as you would a full-time role, without counting on the outcome.
When should I apply for architect internships?
Earlier than most students expect. Large firms and architecture and design corporations recruit summer interns the preceding fall, sometimes as early as September or October. Smaller studios and co-op programs post closer to their start dates, so openings appear year-round. Checking listings regularly means you won't miss a cohort that fills before spring.
Are architect internships paid?
Most professional architect internships in the United States are paid. Compensation varies by company size, industry sector, and location, and listings show pay where the employer discloses it. Unpaid positions exist but are less common at firms operating under standard labor guidelines, so filter for paid roles when that matters to you.
What should an architect internship resume include?
Lead with projects, not work history: two or three complete, documented projects that name the software tools used and link to or reference a design or CAD portfolio where the work is visible. Add relevant coursework such as structural systems, building technology, or design studios. Keep the resume to one page and list technical software proficiencies clearly.
Are there remote architect internships?
Yes. Remote and hybrid roles make up 71% of the architect internship listings here, with the rest on-site. Remote cohorts fill fast because they attract applicants from across the country, so apply early and filter by work type to see them before they close.
What is an architectural internship development program (IDP/AXP)?
The Architectural Experience Program (AXP), formerly IDP, is a structured pathway administered by NCARB that architect candidates complete alongside internship work to satisfy licensure requirements. Many firms running formal intern cohorts participate in AXP and assign mentors to guide hours documentation. It recruits early through university partnerships and is competitive, so identify participating firms and apply in the first wave.
Can international students get architect internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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