{"id":3164180,"url":"https://alion.io/job/bosch-agentic-ai-rd-intern","title":"Agentic AI R&D Intern","company":{"id":132,"name":"Bosch","domain":"bosch.com","url":"https://alion.io/company/bosch","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":1051,"ghost_share":0,"stale_share":0.993,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":53,"max":70,"currency":"USD","period":"hour","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-23T14:02:35Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T23:07:32Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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 (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.\nAs 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.\nOriginating 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.\n 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.\nYou 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.\nResponsibilities\nDepending on your expertise and interests, you will contribute to one or more cutting-edge research topics, including:\nAgent systems for industrial applications\nAutonomous AI agents and multi-agent systems\nAgent reasoning, planning, and decision making\nAgent memory and long-horizon task execution\nAgent self-improvement, continual learning, and adaptation\nTool use, function calling, and agent-environment interaction\nRetrieval-Augmented Generation (RAG) and Agentic RAG\nKnowledge integration and grounding for agents\nLLM post-training, reinforcement learning, and test-time scaling\nMulti-modal agents leveraging language, vision, and structured data\nHuman-agent collaboration and interactive AI systems\nAgent evaluation, benchmarking, reliability, and safety\nKey responsibilities include:\nConduct novel research in Agentic AI, LLMs, and related fields.\nDesign, implement, and evaluate research prototypes demonstrating innovative AI agent capabilities.\nCollaborate closely with Bosch researchers and domain experts to address challenging industrial problems.\nAnalyze experimental results and identify opportunities for scientific innovation.\nPublish research outcomes in top-tier AI conferences and journals, such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, and COLM.\n Basic Qualifications\nCurrently enrolled in a Ph.D. or Master's program in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related field.\nStrong research background in Agentic AI, Large Language Models (LLMs), machine learning, natural language processing, or related areas.\nExperience developing AI agents using modern frameworks and ecosystems\nStrong programming skills in Python and experience with modern AI/ML framework\nFamiliarity with agent workflows involves tool use, function calling, retrieval, memory, and multi-step reasoning.\nExperience conducting independent research, designing experiments, and analyzing results.\nStrong written and verbal communication skills and ability to work effectively in a collaborative research environment.\nMinimum GPA of 3.0\nPreferred Qualifications\nPublication record in top-tier AI, NLP, or machine learning venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, COLM).\nResearch experience in LLM-based agents, agent architecture, task planning, reasoning, and autonomous decision making.\nResearch experience in agent optimization, including post-training, reinforcement learning, preference optimization, and self-improvement.\nExperience with retrieval-augmented generation (RAG), agentic retrieval systems, and knowledge-grounded agents.\nExperience with multi-agent systems, agent collaboration, and distributed agent workflows.\nExperience with multi-modal foundation models involving language, vision, and structured data.\nExperience in reinforcement learning, online learning, or adaptive decision-making systems.\nExperience with agent benchmarking, evaluation methodologies, reliability, safety, or alignment.\nExperience in applying Agentic AI technologies to real-world domains such as engineering design, or industrial automation.\nOpen-source contributions or demonstrated leadership in AI research communities.\n Equal Opportunity Employer, including disability / veterans\n*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.\nBOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)\nFIRST Robotics (For Inspiration and Recognition of Science and Technology)\nAWIM (A World In Motion)\nThe U.S. base salary range for this intern position is $53.00-70.00 hourly. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.\nFor more information on our culture and benefits, please visit:\nCulture and Benefits | Bosch in the USA\nAll your information will be kept confidential according to EEO guidelines.","description_format":"text","description_chars":6977,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sensors & Transducers","Industrial Automation","Motors, Drives & Motion Control","HVAC & Refrigeration"],"lifecycle":[{"event":"open","at":"2026-10-23T16:51:36Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":31,"reasons":["conf:1","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":true},"html_url":"https://alion.io/job/bosch-agentic-ai-rd-intern","json_url":"https://alion.io/job/bosch-agentic-ai-rd-intern.json","meta":{"generated_at":"2026-10-26T00:22:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":410,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":132},"rest":"https://alion.io/mcp/rest/get_company?id=132"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbosch-agentic-ai-rd-intern"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbosch-agentic-ai-rd-intern"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbosch-agentic-ai-rd-intern"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/bosch-agentic-ai-rd-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbosch-agentic-ai-rd-intern"}]}