Software Engineer AI Internships
Software engineer ai internships give university students, recent graduates, and early-career switchers hands-on project experience building and fine-tuning AI systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in Technology & Software, Electronics & Hardware, and Artificial Intelligence, with AMD, Tesla, and TikTok among the employers posting roles now.
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Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Job Details:
- Locations: Austin, TX, Boxborough, MA, Fort Collins, CO, Longmont, CO, Fishkill, NY, Rochester, NY
- Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
- Spring/Summer Co-op: January 15, 2027 - August 13, 2027
- Summer Internship:
- Semester Students: May 24, 2027 - August 13, 2027
- Quarter Students: June 21, 2027 - September 10, 2027
- Summer/Fall Co-op:
- Semester Students: May 24, 2027 - December 10, 2027
- Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:
- We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
- We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
- We may assign you to one or more of the following project work -
- Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
- Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
- Fixing and addressing problems with deployed AI to improve user experience
- Support AI software teams with roadmap planning, collateral development, and customer engagements
WHO WE ARE LOOKING FOR:
- You are currently enrolled in a US based University in a Undergraduate's degree program majoring in computer science, computer engineering, data science / analytics, or a related field
- If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
- Machine learning, data science, computer vision, statistics, and mathematics
- Programming in Python, C/C++
- Relational (SQL) and no-SQL databases
- Machine learning algorithms and frameworks
- Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
- Familiarity with cloud (e.g., AWS, GCP, Azure)
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Job Details:
- Locations: Austin, TX, Boxborough, MA, Fort Collins, CO, Longmont, CO, Fishkill, NY, Rochester, NY
- Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
- Spring/Summer Co-op: January 15, 2027 - August 13, 2027
- Summer Internship:
- Semester Students: May 24, 2027 - August 13, 2027
- Quarter Students: June 21, 2027 - September 10, 2027
- Summer/Fall Co-op:
- Semester Students: May 24, 2027 - December 10, 2027
- Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:
- We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
- We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
- We may assign you to one or more of the following project work -
- Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
- Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
- Fixing and addressing problems with deployed AI to improve user experience
- Support AI software teams with roadmap planning, collateral development, and customer engagements
WHO WE ARE LOOKING FOR:
- You are currently enrolled in a US based University in a Undergraduate's degree program majoring in computer science, computer engineering, data science / analytics, or a related field
- If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
- Machine learning, data science, computer vision, statistics, and mathematics
- Programming in Python, C/C++
- Relational (SQL) and no-SQL databases
- Machine learning algorithms and frameworks
- Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
- Familiarity with cloud (e.g., AWS, GCP, Azure)
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Software Engineer AI Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Artificial Intelligence
- Transportation & Logistics
Tips for Your Software Engineer AI Internship Search
Apply months before the start date
Large employers running structured summer cohorts open applications the preceding fall and close them well before winter. Smaller companies and co-op programs post closer to the start date, so check listings consistently rather than waiting for one recruitment season. Starting early gives you the widest set of options.
Build a portfolio before you apply
For software engineer ai intern roles, a linked GitHub repository with two or three complete projects tells recruiters more than a work history section. Each project should name the tools and frameworks you used, show the code, and ideally include a deployed demo or written summary of what you built and why it worked.
Work your campus network and apply directly at the same time
Campus fairs surface structured internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller AI teams alongside campus activity widens the pool and reaches employers who do not recruit on campus at all.
Practice your technical screen out loud
Software engineer ai intern interviews typically include a coding screen covering data structures, algorithms, and sometimes machine learning fundamentals. Practice solving problems while explaining your reasoning aloud, not just arriving at the answer silently. Interviewers weigh how you think through ambiguity as much as whether your final solution is correct.
Target structured AI internship programs early
Several large technology and AI research employers run dedicated early-career engineering cohorts designed to train people new to production AI work. These programs recruit in the fall for the following summer, fill faster than general internship postings, and are selective. Identify the ones that fit your background and apply in the first wave.
Set your work-type filter before you start
On-site roles are 67% of the software engineer ai internships listed here. Decide what you can realistically commit to before you start reviewing listings, then filter by location and work type on Migrate Mate so you are not sorting through roles that do not fit your situation.
Software Engineer AI Internships: Frequently Asked Questions
How do I get a software engineer ai internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. For software engineer ai roles, a linked GitHub repository or deployed model demo gives recruiters something concrete to assess. Apply directly to companies you want to work for, and attend campus career fairs, where recruiters often move faster for students they meet in person.
Can a software engineer ai internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For software engineer ai interns, what actually drives it is delivering on real project work, fitting within team headcount at offer time, and understanding the return-offer timeline before your internship ends. Position yourself for one by shipping something meaningful, but do not plan your career around it.
When should I apply for software engineer ai internships?
Earlier than most students expect. Large tech and AI-focused employers recruit summer interns starting in the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to the actual start date, so openings appear year-round. Checking listings regularly rather than waiting for a single application window is the practical approach.
Are software engineer ai internships paid?
Most professional software engineer ai internships in the U.S. are paid. Compensation varies by company size, industry, and location, and some employers include housing stipends or relocation assistance on top of base pay. Where an employer discloses compensation, it appears directly in the listing, so you can compare before applying.
What should a software engineer ai internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and frameworks you used and link directly to the code, a deployed demo, or a published write-up, a linked GitHub repository is the standard proof for software engineer ai candidates. Add relevant coursework in AI, machine learning, or systems, and keep the whole document to one page.
Are there remote software engineer ai internships?
Yes. Remote and hybrid roles make up 33% of the software engineer ai internship listings here, with the rest on-site. Remote cohorts fill fast because they attract candidates from everywhere, so apply early once you decide remote works for you, and use the work-type filter to see only those listings.
Can international students get software engineer ai 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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