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Agentic AI R&D Intern

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Bosch USA
Apprenticeship/Internship position
Listed on 2026-11-04
Job specializations:
  • Research/Development
    AI Business & Operations, AI Evaluation, Data Scientist
Salary/Wage Range or Industry Benchmark: 73000 - 96000 USD Yearly USD 73000.00 96000.00 YEAR
Job Description & How to Apply Below
Company Description

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 (), 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 Agentic AI Research Group advances cutting‑edge research in large language models (LLMs), AI agents, and intelligent autonomous systems. Our research spans autonomous and multi‑agent systems, agent reasoning and planning, agent memory, self‑improvement, retrieval‑augmented generation (RAG), reinforcement learning, and multimodal foundation models. We aim to develop novel algorithms and systems that enable AI agents to reason, learn, collaborate, and act effectively in complex real‑world environments.

We actively collaborate with leading researchers and organizations across academia and industry to advance the state of the art in Agentic AI. Our work regularly contributes to internationally renowned conferences and journals, including NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, COLM, and TMLR.

Job Description

You will work on cutting‑edge Agentic AI research while tackling real‑world challenges in domains such as Industrial AI, Manufacturing, Mobility, and Smart Home. Unlike purely academic environments, you will have the opportunity to develop and validate novel AI technologies on large‑scale real‑world applications with measurable impact.

You will work closely with experienced Bosch researchers in Silicon Valley and across our global research network, receive mentorship from leading AI experts, and help transform cutting‑edge research into real‑world AI systems deployed in industrial domains.

Responsibilities
  • Agent systems for industrial applications
  • Autonomous AI agents and multi‑agent systems
  • Agent reasoning, planning, and decision making
  • Agent memory and long‑horizon task execution
  • Agent self‑improvement, continual learning, and adaptation
  • Tool use, function calling, and agent‑environment interaction
  • Retrieval‑Augmented Generation (RAG) and Agentic RAG
  • Knowledge integration and grounding for agents
  • LLM post‑training, reinforcement learning, and test‑time scaling
  • Multi‑modal agents leveraging language, vision, and structured data
  • Human‑agent collaboration and interactive AI systems
  • Agent evaluation, benchmarking, reliability, and safety
Key Responsibilities Include
  • Conduct novel research in Agentic AI, LLMs, and related fields.
  • Design, implement, and evaluate research prototypes demonstrating innovative AI agent capabilities.
  • Collaborate closely with Bosch researchers and domain experts to address challenging industrial problems.
  • Analyze experimental results and identify opportunities for scientific innovation.
  • Publish research outcomes in top‑tier AI…
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