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Bosch USA

AI Research Scientist – Advanced Driver-Assistance Systems (ADAS)

Bosch USA, Sunnyvale

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AI Research Scientist – Advanced Driver-Assistance Systems (ADAS)

We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are as diverse as our outstanding Bosch teams around the world, and their creativity is the key to innovation through connected living, mobility, or industry.

  • Reinvent yourself: At Bosch, you will evolve.
  • Discover new directions: At Bosch, you will find your place.
  • Balance your life: At Bosch, your job matches your lifestyle.
  • Celebrate success: At Bosch, we celebrate you.
  • Be yourself: At Bosch, we value values.
  • Shape tomorrow: At Bosch, you change lives.

As part of the global research effort, 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, healthcare, smart home, and building solutions.

Key Responsibilities

  • Conduct research on GenAI and Foundation models to address academic and industrial challenges in the ADAS AI domain, such as 3D reconstruction, world model, map and localization, data curation, and auto-labeling.
  • Collaborate with an international team of experts to transfer and apply Bosch in-house GenAI / FM innovations and third‑party solutions to Bosch AI products and services, such as ADAS.
  • Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.
  • Provide 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.

Basic Qualifications

  • Ph.D. in Computer Science or Engineering, or a related discipline, or a master’s degree with 3+ years industry experience in GenAI and/or foundation models after graduation.
  • 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine‑tuning, and prompting.
  • In‑depth experience in deep learning, with work in at least two of the following areas: multimodal large language models, diffusion models, 3D reconstruction.
  • Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands‑on experience with AI / NLP / CV libraries.
  • Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL.
  • Strong interpersonal, communication, and teamwork capabilities.

Preferred Qualifications

  • Strong background in math and statistics.
  • 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 and teams dealing with international customers.
  • Leadership skills with excellent English communication and teamwork skills.

We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000, along with an annual corporate bonus and a long‑term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including work experience, job knowledge, complexity of the role, job location, and more.

Your well‑being matters at Bosch! We offer a benefits package designed to empower you in every area of your life, including premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection.

Equal Opportunity Employer, including disability / veterans.

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