About the Company
The Bosch Research and Technology Center North America (RTC-NA), with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts, is part of the global Bosch Group. RTC-NA is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
As part of global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, and Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home, and building solutions.
Originating from Bosch AI research in Silicon Valley, we are responsible for pushing the boundaries of GenAI and foundation models through key innovations to solve complex industry problems and shape the future user experience of Bosch products for both internal and external users in fields like AI agent, 3D Vision, and Advanced Driver Assistance Systems. We collaborate with internal partners of different Bosch business units to transfer our solutions into future products and actively work with leading groups in academia and industry to promote research ideas and publish findings in internationally renowned conferences and journals such as ACL, EMNLP, CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, and CoRL.
Responsibilities
- Conduct research on LLM and Agentic AI to address academic and industrial challenges.
- Work with an international team of experts to develop Bosch in-house LLM and Agentic AI innovations and solutions for various Bosch AI products and services.
- Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.
- Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.
- Document and disseminate research findings through high-caliber publications and/or patent submissions.
Qualifications
Basic Qualifications
- Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years of industry experience (LLM and NLP related) after graduation.
- 2+ years of research experience or equivalent graduate research experience on LLMs and related areas, such as model post-training (fine-tuning, reinforcement learning), prompting, agentic RAG, and AI agent optimization.
- Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands-on experience with AI / NLP libraries.
- Publication records in top venues including ACL, EMNLP, NeurIPS, AAAI, ICML, ICLR.
- Strong interpersonal, communication, and teamwork capabilities.
Preferred Qualifications
- 3+ years of experience in industrial research.
- Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets.
- Experience in leading R&D projects & team dealing with international customers.
- Leadership skills with excellent English communication & teamwork skills.