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 Healthcare & Medical Services, with Tesla, TikTok, and Nuro among the employers posting roles now.
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Showing 5 of 15+ Software Engineer AI Internships
Job Description
We are seeking a highly motivated Summer Intern to join our R&D Software Engineering team in Wilmington, Delaware. This role focuses on applying Artificial Intelligence (AI) to develop and enhance software tools for test automation, workflow pipelines and engineering workflows. You’ll work closely with our engineering and SWQA teams to design, test, and develop practical applications that use modern AI technologies.
This internship offers the opportunity to work on real-world R&D challenges with the potential to extend into a part-time role during the academic year.
Key Responsibilities
Apply AI-assisted development techniques to generate and accelerate software development
Contribute to the adoption of modern AI development practices and tools
Design, develop, and enhance internal software tools in C++, C#, Python, JavaScript and HTML
Document AI initiatives, including use cases, requirements, and outcomes
Communicate AI strategy, progress, and outcomes effectively across teams to ensure alignment and adoption
Review, validate, and refine AI-generated code to ensure quality, performance, and maintainability using strong software engineering principles
Collaborate with cross-functional R&D teams (software, firmware, test, and hardware)
Participate in code reviews, debugging, and continuous improvement of development practices
What You’ll Gain
Hands-on experience applying AI in a real R&D environment
Exposure to instrument software, automation systems, and engineering workflows
Mentorship from experienced engineers and technical leaders
Opportunity to contribute to impactful projects
Potential to extend into a part-time role during the academic year, based on performance and business needs
Qualifications
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, or related field
Programming experience in at least one of the following: C++, C#, Python
Programming experience in JavaScript and HTM
Experience with Git or similar version control systems
Experience with AI development and have built agents, experimented with novel prompting approaches, or shipped AI tools as side projects.
Awareness of emerging AI trends, tools, and best practices
Familiarity with AI-assisted coding tools (e.g., GitHub Copilot or similar)
Strong attention to detail, with a conscientious and quality-focused approach to work
Demonstrated problem-solving ability
Understanding of software development fundamentals, including version control and testing
Strong analytical and problem-solving skills
Ability to work both independently and collaboratively in a team environment
The intern pay rate for this position is $36.57–$38.86/hour, plus eligibility for paid holidays and medical benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant
education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location.
Additional Details
This job has a full time weekly schedule. Applications for this job will be accepted until at least June 25, 2026 or until the job is no longer posted. Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required:
NoShift:
DayDuration:
3-6 MonthsJob Function:
GeneralJob Description
We are seeking a highly motivated Summer Intern to join our R&D Software Engineering team in Wilmington, Delaware. This role focuses on applying Artificial Intelligence (AI) to develop and enhance software tools for test automation, workflow pipelines and engineering workflows. You’ll work closely with our engineering and SWQA teams to design, test, and develop practical applications that use modern AI technologies.
This internship offers the opportunity to work on real-world R&D challenges with the potential to extend into a part-time role during the academic year.
Key Responsibilities
Apply AI-assisted development techniques to generate and accelerate software development
Contribute to the adoption of modern AI development practices and tools
Design, develop, and enhance internal software tools in C++, C#, Python, JavaScript and HTML
Document AI initiatives, including use cases, requirements, and outcomes
Communicate AI strategy, progress, and outcomes effectively across teams to ensure alignment and adoption
Review, validate, and refine AI-generated code to ensure quality, performance, and maintainability using strong software engineering principles
Collaborate with cross-functional R&D teams (software, firmware, test, and hardware)
Participate in code reviews, debugging, and continuous improvement of development practices
What You’ll Gain
Hands-on experience applying AI in a real R&D environment
Exposure to instrument software, automation systems, and engineering workflows
Mentorship from experienced engineers and technical leaders
Opportunity to contribute to impactful projects
Potential to extend into a part-time role during the academic year, based on performance and business needs
Qualifications
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, or related field
Programming experience in at least one of the following: C++, C#, Python
Programming experience in JavaScript and HTM
Experience with Git or similar version control systems
Experience with AI development and have built agents, experimented with novel prompting approaches, or shipped AI tools as side projects.
Awareness of emerging AI trends, tools, and best practices
Familiarity with AI-assisted coding tools (e.g., GitHub Copilot or similar)
Strong attention to detail, with a conscientious and quality-focused approach to work
Demonstrated problem-solving ability
Understanding of software development fundamentals, including version control and testing
Strong analytical and problem-solving skills
Ability to work both independently and collaboratively in a team environment
The intern pay rate for this position is $36.57–$38.86/hour, plus eligibility for paid holidays and medical benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant
education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location.
Additional Details
This job has a full time weekly schedule. Applications for this job will be accepted until at least June 25, 2026 or until the job is no longer posted. Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required:
NoShift:
DayDuration:
3-6 MonthsJob Function:
GeneralSoftware Engineer AI Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Healthcare & Medical Services
- Manufacturing
- Artificial Intelligence
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 82% 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 18% 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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