INTERNSHIP DETAILS

AI Engineering Intern (October 2026 - August 2027)

CompanyBosch Group
LocationPlymouth Charter Township
Work ModeOn Site
PostedSeptember 17, 2026
Internship Information
Core Responsibilities
The intern will develop AI-powered tools, agents, and workflows to support engineering activities for braking and steering systems. They will also prototype new AI concepts and mature them into reliable tools for engineering teams.
Internship Type
intern
Company Size
167154
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Bosch Group is a leading global supplier of technology and services. It employs roughly 413,000 associates worldwide (as of December 31, 2025). The company generated sales of 91 billion euros in 2025. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, electrification, digitalization, connectivity, and an orientation to sustainability. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture user-friendly, sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 500 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 82,000 associates in research and development. Instagram: https://www.instagram.com/boschglobal/ Facebook: https://www.facebook.com/BoschGlobal Glassdoor: https://bit.ly/3raTZnH Imprint: www.bosch.com/corporate-information Privacy statement: https://www.bosch.com/data-protection-notice-bosch-linkedin/
About the Role

Company Description

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch 

  • Reinvent yourself: At Bosch, you will evolve.
  • Discover new directions: At Bosch, you will find your place.
  • Balance your life: At Bosch, your job matches your lifestyle.
  • Celebrate success: At Bosch, we celebrate you.
  • Be yourself: At Bosch, we value values. 
  • Shape tomorrow: At Bosch, you change lives.

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

As an AI Engineering Intern, you will work directly with engineers to understand technical challenges, translate them into AI use cases, and iterate on solutions based on user feedback. A few additional responsibilities will include: 

  • Developing AI-powered tools, agents, and workflows to support engineering and product development activities for braking and steering systems in the Vehicle Motion division.
  • Identifying high-value opportunities to apply generative AI, machine learning, automation, and agentic workflows within existing engineering processes.
  • Prototype and evaluate new AI concepts quickly, then mature successful concepts into reliable tools that can be used by engineering teams.
  • Applying AI to embedded software development activities, including areas such as code generation, code analysis, debugging support, test development, requirements analysis, and engineering documentation.
  • Developing AI-enabled solutions for engineering analysis, including processing, interpreting, and summarizing technical data and test results.
  • Building workflows that combine AI models with engineering tools, data sources, scripts, APIs, and internal systems.
  • Explore the use of AI agents to automate multi-step engineering tasks and improve engineer productivity.
  • Supporting development of retrieval-augmented generation, knowledge assistants, and other AI solutions that allow engineers to more effectively access and use technical information.
  • Evaluating the accuracy, reliability, and limitations of AI-generated outputs in engineering applications.
  • Researching emerging AI technologies and determine their applicability to automotive engineering and embedded product development.
  • Documenting developed solutions, architecture, lessons learned, and recommended practices for broader adoption within the organization.
  • Taking ownership of AI projects from initial problem definition and proof-of-concept development through validation and deployment.
  • Improving data accessibility by developing scalable solutions to aggregate, structure, store, and expose engineering and business data for analysis, reporting, and decision-making.

Qualifications

 Minimum Qualifications:

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Artificial Intelligence, Data Science, or a related technical field with at least one semester completed.
  • Minimum of overall GPA of at least 3.0
  • Must be a minimum of 18 years of age
  • Strong programming skills, preferably with experience in Python and familiarity with software development best practices.
  • Hands-on interest or experience with generative AI, large language models, machine learning, AI agents, or AI-enabled software development.
  • Experience developing applications using APIs, automation frameworks, or software integrations.
  • Interest in automotive systems, embedded software, controls, braking systems, steering systems, or safety-critical product development.
  • Familiarity with embedded software development, C/C++, MATLAB/Simulink, data analysis, or automotive development tools is a plus.
  • Experience with AI development concepts such as prompt engineering, retrieval-augmented generation, vector databases, tool calling, agentic workflows, or model evaluation is a plus.

Availability

  • Fall 2026: Part-time internship while attending school.
  • Winter 2027: Continue part-time while attending school.
  • Summer 2027: Transition to a full-time after finals.
  • The internship will conclude prior to the start of the student’s next academic term in Fall 2027.
  • The extended internship structure is intended to allow the student to move beyond short-term experimentation, develop a deeper understanding of braking and steering product development, and take meaningful AI solutions from concept through implementation.

Additional Information

All your information will be kept confidential according to EEO guidelines.

By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

  • FIRST Robotics (For Inspiration and Recognition of Science and Technology)
  • AWIM (A World In Motion)

Indefinite U.S. work authorized individuals only.  Future sponsorship for work authorization unavailable.

  • Legal Entity: Robert Bosch LLC
  • Key Skills
    PythonGenerative AIMachine LearningAI AgentsEmbedded Software DevelopmentPrompt EngineeringRetrieval-Augmented GenerationVector DatabasesTool CallingAgentic WorkflowsModel EvaluationC/C++MATLAB/SimulinkData AnalysisAutomation FrameworksSoftware Integration
    Categories
    TechnologyEngineeringSoftwareData & AnalyticsManufacturing