Learning And Development Manager Internships
Learning and development manager internships give university students, recent graduates, and early-career switchers hands-on project experience designing training programs, mentorship from working L&D practitioners, and, at many employers, a path toward a full-time offer. Openings are concentrated across Insurance, Manufacturing, and Technology & Software, 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 And Development Manager Internship Market
Who's Hiring
Top Industries Hiring
- Insurance
- Manufacturing
- Technology & Software
Tips for Your Learning And Development Manager Internship Search
Apply for summer internships in the fall
Large employers open their summer L&D intern cohorts in September and October, months before the program starts. Smaller companies and co-op programs post closer to start dates, so roles appear year-round. Waiting until spring means competing for what is left after the first wave has already closed.
Build a portfolio before you apply
Without a long work history, your portfolio is your application. Create two or three documented projects, such as a training module built in an authoring tool, a needs assessment write-up, or a facilitation plan, and make them linkable. L&D recruiters want to see how you approach learning design, not just that you studied it.
Work your campus network and apply directly at the same time
Career fairs surface structured programs tied to your university, and professors with industry connections often know which employers recruit from your school before roles go public. Apply directly to companies running smaller cohorts alongside your campus activity so you are reaching openings that never make it to a university event.
Practice the L&D intern interview format out loud
Learning and development manager intern screens typically involve a scenario or case question, such as designing a short training for a given audience or diagnosing a performance gap. Practice answering these out loud, explaining your reasoning as you go, since interviewers weigh how you think through a problem as much as the final solution you land on.
Target structured L&D and HR rotational programs early
Larger employers run cohort or rotational programs specifically built to train candidates new to learning and development. These programs recruit on a fixed calendar, often filling in the fall for summer starts, and they are competitive. Identify which employers offer them, note their deadlines, and apply in the first wave rather than after the cohort is set.
Set your work-type filter before you start searching
On-site roles are 11% of the learning and development manager internships listed here. Decide what you can commit to before you start reviewing openings, then filter by location and work type so you are not sorting through roles you cannot accept. Filtering first saves time and keeps your application energy on the right opportunities.
Learning And Development Manager Internships: Frequently Asked Questions
How do I get a learning and development manager internship?
Lead with coursework and projects rather than work history, since hiring teams expect limited experience at the intern level. A portfolio showing a training module, a needs assessment, or an instructional design sample gives recruiters something concrete to evaluate. Pair direct applications with campus career fairs, where L&D recruiters often move faster for students they meet in person.
Can a learning and development manager internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for L&D interns is delivering on real projects, building visible relationships with the team, and understanding whether the team has headcount to hire. Position for a return offer by treating every assignment as a work sample, but keep applying to other roles so you are not counting on it.
When should I apply for learning and development manager internships?
Earlier than most candidates expect. Large employers recruit summer interns the preceding fall, so applications for June starts often open in September and October. Smaller companies and co-op programs post closer to start dates, which means openings appear year-round. Checking listings regularly rather than waiting for a single season gives you a wider window of opportunity.
Are learning and development manager internships paid?
Most professional learning and development manager internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid arrangements exist, typically at nonprofits or small organizations, but they are less common in corporate L&D settings.
What should a learning and development manager internship resume include?
Lead with two or three documented projects rather than work history: name the tools you used, the learning objective each project addressed, and where the work can be seen, such as a linked training module, a curriculum outline, or a published case study. Add relevant coursework in instructional design, organizational psychology, or HR, and keep the whole document to one page.
Are there remote learning and development manager internships?
Yes. Remote and hybrid roles make up 89% of the learning and development manager internship listings here, with the rest on-site. Remote cohorts fill quickly because they attract applicants from across the country, so apply early once you decide remote works for you and filter by work type to surface those roles immediately.
What is an instructional design internship and how does it relate to L&D manager roles?
Instructional design internships are a structured entry point into the learning and development field, focused on building training content, assessments, and learner-facing materials. Many companies use them to develop candidates for broader L&D roles over time. These programs recruit early and are competitive, so identify which employers offer them and apply in the first wave of their recruiting cycle.
Can international students get learning and 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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