AI Software Developer Internships
Ai software developer internships give university students, recent graduates, and early-career switchers hands-on project experience building real AI systems, mentorship from working engineers and researchers, and, at many employers, a path toward a full-time offer. Roles are concentrated across 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.
AI Software Developer Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Artificial Intelligence
- Transportation & Logistics
Tips for Your AI Software Developer Internship Search
Apply in the fall for summer AI internships
Large technology companies and enterprise AI teams open summer internship applications as early as August and September. Waiting until spring means most structured cohort spots are already filled. Smaller employers and co-op programs post closer to start dates, so search continuously rather than treating it as a single season.
Build a portfolio before you send your first application
Hiring teams for ai software developer intern roles assess your technical thinking through project work, not job history. Put two or three complete projects on a public repository, document what each one does, and note the tools and frameworks you used. A recruiter who can read your code before your interview has something concrete to discuss.
Work your campus network and apply directly at the same time
Campus career fairs surface structured programs tied directly to your university, and professors or career center staff often know which employers recruit from your school before roles appear publicly. Apply directly to companies running smaller cohorts in parallel, since many ai software developer internship openings never appear at campus events.
Practice coding screens out loud before your first interview
Most ai software developer intern screens include a coding assessment on data structures, algorithms, or machine learning fundamentals. Interviewers weigh how you explain your reasoning as much as whether you reach the right answer. Practice on representative problems by talking through your approach in real time, not just writing solutions in silence.
Target structured AI internship and rotational programs early
Larger employers run cohort-based internship programs designed to train people entering the AI field, covering areas like model development, applied research, and ML infrastructure. These programs recruit in the fall, fill fast, and are competitive. Identify which ones align with your coursework and apply in the first wave of each cycle.
Set your work-type filter before you start
On-site roles are 67% of the ai software developer internships listed here. Decide what you can commit to before you search rather than after, then filter by location and work type so your list reflects positions you can actually accept. Migrate Mate's filters let you narrow by work type from the start.
AI Software Developer Internships: Frequently Asked Questions
How do I get an ai software developer internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. A public GitHub repository with documented AI or machine learning projects gives recruiters something concrete to assess your technical thinking. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai software developer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for ai software developer interns is consistent performance on real project work, available headcount on the team, and return-offer timing at the end of the program. Deliver strong results and express interest early, but don't count on it before the offer arrives.
When should I apply for ai software developer internships?
Earlier than most students expect. Large tech employers and enterprise AI teams recruit summer interns the preceding fall, often closing applications before December. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Check postings regularly and treat fall as the primary application window if you are targeting structured summer cohorts.
Are ai software developer internships paid?
Most professional ai software developer internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show pay where the employer chooses to disclose it. Unpaid arrangements are uncommon in this field outside of academic research settings, where funding and credit structures differ from corporate internships.
What should an ai software developer internship resume include?
Lead with two or three complete, documented projects rather than work history. For each, name the tools and frameworks you used and link to the code on a public repository so reviewers can assess your work directly. Add relevant coursework in areas like machine learning, data structures, or computer vision, and keep the entire resume to one page.
Are there remote ai software developer internships?
Yes. Remote and hybrid roles make up 33% of the ai software developer internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early once you find a role that fits. Use the work-type filter to surface only remote or hybrid listings and avoid sorting through positions you cannot take.
What is an AI or machine learning internship rotational program?
Some larger technology and enterprise AI employers run structured rotational internship programs that move participants across multiple teams, such as model development, infrastructure, and applied research, over a single summer or multi-term period. These programs target students early in their AI coursework, recruit aggressively in the fall, and fill their cohorts well before spring, so apply in the first wave.
Can international students get ai software developer 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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