AI Research Engineer – Agentic AI at Bo-Sch in Sunnyvale, CA, United States

Overview

Job Description Design, build, and evaluate agentic AI systems that can plan, reason, act, and collaborate across tools and environments, including single- and multi-agent setups for complex, long-horizon tasks. Develop robust agent harnesses and evaluation frameworks covering end-to-end testing, re…

Job description

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Preferred

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About Bo-Sch

The 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 (www.bosch.com), a company with over 70 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 (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As part of the global research organization, our AI research in Silicon Valley focuses on Foundation Models and Gen AI, Human-AI Collaboration and Trustworthy AI, AI for Advanced Driver-Assistance Systems (ADAS) and Autonomous Systems, AI Systems Engineering, and Industry AI. We develop scalable, intelligent, and trustworthy AI solutions to enable inspiring user experiences for Bosch products and services in application areas such as ADAS, smart manufacturing, enterprise AI, healthcare, smart home, and building solutions. Originating from Bosch AI research in Silicon Valley, our Vision and Language AI Group advances cutting-edge research in two core AI areas: large language models (LLMs) and 3D computer vision. In the LLM space, we focus on AI agents, retrieval-augmented generation, and effective adaptation of LLMs to Bosch domain-specific applications. In 3D vision, we advance spatial intelligence with 3D world models that perceive, reconstruct, and simulate the physical world, enabling reliable embodied control and sim-to-real transfer. By integrating these two areas, we aim to build intelligent systems that can perceive, reason, and communicate seamlessly across both language and spatial environments. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ACL, EMNLP, CVPR, ICCV, ECCV, NeurIPS, AAAI and CoRL.

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