Company DescriptionThe Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group, a company with over 90 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America provides technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
The Bosch Research and Technology Center in Pittsburgh, PA is focused on the research and development of cutting-edge AI and sensing technologies that will shape the future of the company's products. This position is part of an ambitious effort to design and develop intelligent multi-modal sensing at the intersection of deep learning and signal processing, with diverse application domains ranging from physical security to intelligent and connected vehicles.
Job DescriptionWe are looking for highly motivated students (fall 2026) to join our research team in developing new deep learning/AI algorithms for various real-world applications of AI, including but not limited to:
- large language model, vision language model,
- AI efficiency, and
- security of agentic AI with emphasis on formal modeling and formal verification approaches
This internship role will focus on the following responsibilities:
- Design, development and implementation of novel deep learning algorithms targeted towards scalable and verifiable data-curation and auto-labeling on public benchmarks and multi-modal Bosch data from application areas such as automated driving and robotics
- Technical discussions with the research team towards creation of new ideas and improve upon the existing solutions.
- Clean, efficient, and well-documented implementation of new AI methods.
- Code contributions to our deep learning framework.
- Publish at leading AI conferences, and ultimately shape the future of Bosch products and services.
QualificationsRequired Qualification:- Pursuing PhD degree in Computer Science / Engineering, Data Science, Electrical Engineering, or Mathematics.
- Strong foundation and broad knowledge of Machine Learning algorithms and principles.
- Programming experience in Python + PyTorch.
- Excellent communication skills.
- Demonstrated security expertise via publications and/or patent applications
Desired Qualification:- Experience with working on Machine Learning, or Deep Learning projects and Security technologies
- Established publication record in Machine Learning and Security or related fields.
- Good coding practices, ability to write efficient and readable code.
- Good writing and presentation skills.
Additional InformationEqual Opportunity Employer, including disability / veterans. *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
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