Learning Development Manager Internships
Learning development manager internships give university students, recent graduates, and early-career switchers hands-on project experience designing and facilitating real training programs, mentorship from working learning and development practitioners, and, at many employers, a path toward a full-time offer. Insurance, Manufacturing, and Technology & Software lead hiring activity, with Simmons Foods, General Motors (GM), and QTS among the employers posting roles now.
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Job Description
The Role:
As a 2027 Summer Intern on the Vehicle Aerodynamics and Machine Learning team, you will work at the intersection of physics-based vehicle simulation, computational fluid dynamics, scientific machine learning, and aerodynamic design optimization.
You will support research that uses CFD and AI/ML to improve vehicle aerodynamic performance, accelerate design exploration, and enable more efficient development of next-generation vehicles. The work may include analyzing vehicle flow fields, developing data-driven aerodynamic models, evaluating design concepts, and translating research results into practical engineering tools.
This role is intended for an inquisitive, technically motivated student who enjoys applying engineering fundamentals and modern computational methods to complex problems. You will work with experienced researchers and cross-functional engineering partners while developing your skills in vehicle aerodynamics, simulation, machine learning, data analysis, and technical communication.
GM’s related research includes high-fidelity CFD, aerodynamic drag and efficiency improvement, physics-based AI models, surrogate modeling, transfer learning, and rapid aerodynamic feedback from vehicle geometry or design data.
The Team:
The Energy and Propulsion Systems Research team conducts applied research intended to improve vehicle efficiency, performance, range, cost, and sustainability. The team collaborates with researchers, vehicle-development organizations, engineering groups, universities, technology partners, and industry leaders to identify and develop technologies with potential value to GM.
You will work in a multidisciplinary environment that may include vehicle aerodynamicists, CFD specialists, data scientists, machine-learning researchers, vehicle designers, optimization experts, and engineers from propulsion, thermal, body, chassis, and vehicle-performance organizations.
The internship experience may also include innovation challenges, interactions with industry leaders, cross-functional networking events, technical presentations, and community-service activities.
What You’ll Do:
- Support vehicle aerodynamics research involving external flow, aerodynamic drag, lift, downforce, cooling airflow, and vehicle efficiency.
- Set up, run, monitor, and post-process CFD simulations for vehicle and component-level aerodynamic studies.
- Prepare simulation geometry, meshes, boundary conditions, design variables, and analysis workflows.
- Analyze aerodynamic coefficients, pressure distributions, velocity fields, wake structures, flow features, and other performance metrics.
- Build and curate datasets from CFD simulations, experimental results, vehicle geometry, and design variables.
- Develop, train, test, and evaluate machine-learning or surrogate models for aerodynamic quantities and flow-field predictions.
- Investigate physics-informed, data-driven, reduced-order, graph-based, or other scientific machine-learning approaches relevant to vehicle aerodynamics.
- Apply data preprocessing, feature engineering, dimensionality reduction, model selection, hyperparameter tuning, and validation techniques.
- Evaluate model accuracy, robustness, generalization, uncertainty, and limitations across vehicle geometries and operating conditions.
- Compare ML predictions with CFD, wind-tunnel, experimental, or other trusted engineering results.
- Support design-of-experiments, surrogate-based optimization, sensitivity studies, and aerodynamic shape exploration.
- Develop Python-based scripts, tools, and workflows to automate simulation setup, data processing, model training, visualization, and reporting.
- Help identify opportunities to reduce analysis time and enable earlier aerodynamic feedback during vehicle design.
- Document assumptions, methods, data sources, model configurations, results, limitations, and recommendations.
- Create clear plots, visualizations, technical reports, presentations, and demonstrations for engineering and research audiences.
- Collaborate with researchers and cross-functional partners to define technical questions, review results, and recommend next steps. Present technical findings and participate in innovation, networking, and professional-development activities.
Required Qualifications:
- Pursuit of an advanced degree (MS or PhD) in mechanical engineering, aerospace engineering, computational engineering, computer science, applied mathematics, physics, data science, or a related technical discipline. Able to work fulltime, 40 hours per week during the summer months.
Preferred Qualifications:
- Coursework, research, or project experience in fluid mechanics, vehicle aerodynamics, computational fluid dynamics, turbulence modeling, numerical methods, optimization, or heat transfer.
- Experience with Python, MATLAB, C++, or comparable programming languages.
- Experience with NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar scientific-computing and machine-learning libraries.
- Familiarity with CFD, CAE, CAD, meshing, visualization, Linux, high-performance computing, or engineering software workflows.
- Experience developing or applying machine-learning models to scientific, engineering, physical-simulation, or time-series data.
- Familiarity with surrogate modeling, physics-informed machine learning, graph neural networks, neural operators, transfer learning, uncertainty quantification, or model explainability.
- Experience with design-of-experiments, parameter studies, optimization, or automated engineering workflows.
- Ability to evaluate data quality, identify modeling limitations, and distinguish physically meaningful results from numerical or data artifacts.
- Experience communicating technical results through reports, presentations, plots, code documentation, or demonstrations.
- Strong analytical, written, and verbal communication skills. Ability to work independently while collaborating effectively with researchers and cross-functional engineering teams.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum [or other frequency dictated by the business]
Start dates for this internship role are May 24th & June 14th of 2027.




About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Job Description
The Role:
As a 2027 Summer Intern on the Vehicle Aerodynamics and Machine Learning team, you will work at the intersection of physics-based vehicle simulation, computational fluid dynamics, scientific machine learning, and aerodynamic design optimization.
You will support research that uses CFD and AI/ML to improve vehicle aerodynamic performance, accelerate design exploration, and enable more efficient development of next-generation vehicles. The work may include analyzing vehicle flow fields, developing data-driven aerodynamic models, evaluating design concepts, and translating research results into practical engineering tools.
This role is intended for an inquisitive, technically motivated student who enjoys applying engineering fundamentals and modern computational methods to complex problems. You will work with experienced researchers and cross-functional engineering partners while developing your skills in vehicle aerodynamics, simulation, machine learning, data analysis, and technical communication.
GM’s related research includes high-fidelity CFD, aerodynamic drag and efficiency improvement, physics-based AI models, surrogate modeling, transfer learning, and rapid aerodynamic feedback from vehicle geometry or design data.
The Team:
The Energy and Propulsion Systems Research team conducts applied research intended to improve vehicle efficiency, performance, range, cost, and sustainability. The team collaborates with researchers, vehicle-development organizations, engineering groups, universities, technology partners, and industry leaders to identify and develop technologies with potential value to GM.
You will work in a multidisciplinary environment that may include vehicle aerodynamicists, CFD specialists, data scientists, machine-learning researchers, vehicle designers, optimization experts, and engineers from propulsion, thermal, body, chassis, and vehicle-performance organizations.
The internship experience may also include innovation challenges, interactions with industry leaders, cross-functional networking events, technical presentations, and community-service activities.
What You’ll Do:
- Support vehicle aerodynamics research involving external flow, aerodynamic drag, lift, downforce, cooling airflow, and vehicle efficiency.
- Set up, run, monitor, and post-process CFD simulations for vehicle and component-level aerodynamic studies.
- Prepare simulation geometry, meshes, boundary conditions, design variables, and analysis workflows.
- Analyze aerodynamic coefficients, pressure distributions, velocity fields, wake structures, flow features, and other performance metrics.
- Build and curate datasets from CFD simulations, experimental results, vehicle geometry, and design variables.
- Develop, train, test, and evaluate machine-learning or surrogate models for aerodynamic quantities and flow-field predictions.
- Investigate physics-informed, data-driven, reduced-order, graph-based, or other scientific machine-learning approaches relevant to vehicle aerodynamics.
- Apply data preprocessing, feature engineering, dimensionality reduction, model selection, hyperparameter tuning, and validation techniques.
- Evaluate model accuracy, robustness, generalization, uncertainty, and limitations across vehicle geometries and operating conditions.
- Compare ML predictions with CFD, wind-tunnel, experimental, or other trusted engineering results.
- Support design-of-experiments, surrogate-based optimization, sensitivity studies, and aerodynamic shape exploration.
- Develop Python-based scripts, tools, and workflows to automate simulation setup, data processing, model training, visualization, and reporting.
- Help identify opportunities to reduce analysis time and enable earlier aerodynamic feedback during vehicle design.
- Document assumptions, methods, data sources, model configurations, results, limitations, and recommendations.
- Create clear plots, visualizations, technical reports, presentations, and demonstrations for engineering and research audiences.
- Collaborate with researchers and cross-functional partners to define technical questions, review results, and recommend next steps. Present technical findings and participate in innovation, networking, and professional-development activities.
Required Qualifications:
- Pursuit of an advanced degree (MS or PhD) in mechanical engineering, aerospace engineering, computational engineering, computer science, applied mathematics, physics, data science, or a related technical discipline. Able to work fulltime, 40 hours per week during the summer months.
Preferred Qualifications:
- Coursework, research, or project experience in fluid mechanics, vehicle aerodynamics, computational fluid dynamics, turbulence modeling, numerical methods, optimization, or heat transfer.
- Experience with Python, MATLAB, C++, or comparable programming languages.
- Experience with NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar scientific-computing and machine-learning libraries.
- Familiarity with CFD, CAE, CAD, meshing, visualization, Linux, high-performance computing, or engineering software workflows.
- Experience developing or applying machine-learning models to scientific, engineering, physical-simulation, or time-series data.
- Familiarity with surrogate modeling, physics-informed machine learning, graph neural networks, neural operators, transfer learning, uncertainty quantification, or model explainability.
- Experience with design-of-experiments, parameter studies, optimization, or automated engineering workflows.
- Ability to evaluate data quality, identify modeling limitations, and distinguish physically meaningful results from numerical or data artifacts.
- Experience communicating technical results through reports, presentations, plots, code documentation, or demonstrations.
- Strong analytical, written, and verbal communication skills. Ability to work independently while collaborating effectively with researchers and cross-functional engineering teams.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).
Work Arrangement:
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum [or other frequency dictated by the business]
Start dates for this internship role are May 24th & June 14th of 2027.




About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Learning Development Manager Internship Market
Who's Hiring
Top Industries Hiring
- Insurance
- Manufacturing
- Technology & Software
Tips for Your Learning Development Manager Internship Search
Apply earlier than the role seems urgent
Large employers with structured L&D cohort programs recruit summer interns the preceding fall, often closing applications before December. Smaller companies and co-op programs post closer to start dates. Starting your search in September and checking listings consistently through spring puts you inside every relevant hiring window.
Build a portfolio before you need one
Hiring teams for learning development manager interns want evidence, not just credentials. Create two or three finished, documented projects, such as an e-learning module built in Articulate or Rise, a facilitation guide, or a training needs analysis, and make them reviewable via a shared link. That portfolio gives recruiters something concrete to assess when your work history is limited.
Work your campus network and apply directly at the same time
Campus career fairs surface structured L&D programs tied to your university, and recruiters there often move faster for students they meet in person. Your professors and career center staff may know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach.
Practice your intern interview out loud before you apply
Learning development manager intern screens often include a short instructional design scenario or a case question asking how you would approach a training gap. Practice answering out loud and explaining your reasoning step by step, since interviewers weigh how you think through a problem as much as the final solution you arrive at.
Target structured L&D internship programs early
Larger employers often run formal learning and development rotational or cohort internship programs built to train people new to the field. These programs cycle interns through instructional design, facilitation, and learning technology functions in a single term. They recruit early, fill fast, and are competitive, so identify the ones that fit your timeline and apply in the first wave.
Set your work-type filter before you start searching
On-site roles are 11% of the learning development manager internships listed here. Decide what arrangement you can commit to before you start reviewing listings, then filter by location and work type so you're not sorting through roles you cannot take. Applying to the right pool from the start saves time and keeps your focus sharp.
Learning Development Manager Internships: Frequently Asked Questions
How do I get a learning development manager internship?
Lead with coursework and projects rather than work history, since hiring teams expect limited experience at the intern level. Build a portfolio with documented training modules, instructional design samples, or facilitation guides that give recruiters something concrete to assess. Combine direct applications to companies running open roles with campus career fairs, where L&D recruiters often move faster for students they meet in person.
Can a learning development manager 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 learning development manager interns is delivering measurable results on real projects, demonstrating adaptability across different learner groups, and aligning your timeline with the team's headcount cycle. Position for a return offer by treating every assignment seriously, but keep applying to full-time roles in parallel rather than counting on one outcome.
When should I apply for learning development manager internships?
Earlier than most students expect. Large employers, particularly those running structured L&D cohort programs, recruit summer interns the preceding fall, sometimes as early as September or October. Smaller companies, nonprofits, and co-op programs post closer to their start dates, so openings appear year-round. Checking listings consistently from early fall through spring gives you the widest window.
Are learning development manager internships paid?
Most professional learning development manager internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show pay where the employer discloses it. Larger corporations and technology companies tend to offer stronger compensation, while nonprofit and government internships vary widely. Review each listing directly for the employer's disclosed range or stipend structure.
What should a learning development manager internship resume include?
Lead with projects, not work history. Include two or three documented projects with the authoring tools used, such as Articulate Storyline, Rise, or Canva, and link to the finished modules, facilitation guides, or training plans so reviewers can assess your actual work. Add relevant coursework in instructional design, organizational psychology, or adult learning theory. Keep the whole document to one page.
Are there remote learning development manager internships?
Yes. Remote and hybrid roles make up 89% of the learning development manager internship listings here, with the rest on-site. Remote cohorts fill fast because they attract a national applicant pool, so apply early once you decide what arrangement works for your situation. Filter by work type to see only the remote or hybrid openings without sorting through roles you cannot take.
What is a learning and development rotational internship?
Some larger employers run structured L&D rotational internship programs that cycle participants through instructional design, facilitation, needs analysis, and learning technology teams over a single summer or semester. These programs target candidates new to the field and are designed to build a broad skill base quickly. They recruit early, attract strong applicant pools, and fill their cohorts fast, so identify the programs that fit your timeline and apply in the first wave.
Can international students get learning development manager 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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