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Senior Research Scientist- Model

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Bosch Group
Full Time position
Listed on 2026-01-01
Job specializations:
  • Engineering
    AI Engineer, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Senior Research Scientist- World Model

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 a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting‑edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.

Our award‑winning team (IEEE VIS best paper & best paper runner‑ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG.

Job Description

As a Technical Lead specializing in Generative AI for 3D Computer Vision, drive innovation at the intersection of GenAI and spatial perception. Lead research and engineering efforts to develop next‑generation AI systems for applications in automated driving, industrial automation, and embodied AI.

  • Lead research and development in generative AI and 3D computer vision to enable embodied intelligence across domains such as ADAS/AD, robotics, and industrial automation.
  • Advance 3D perception capabilities by integrating large‑scale vision‑language‑action models, enhancing reasoning, explainability, and open‑world understanding.
  • Architect and implement scalable solutions
    , translating cutting‑edge research into robust, real‑world systems within Bosch’s platforms.
  • Collaborate cross‑functionally with global research and engineering teams to ensure seamless technology transfer and system integration.
  • Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events.

Contribute to intellectual property through high‑impact publications and patent submissions, shaping the future of generative 3D AI technologies.

Qualifications

Basic Qualifications

  • Ph.D. in Computer Science with >= 3 years industry experience after graduation.
  • A minimum of 5 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer Vision, Automotive Motion, Behavioral Planning, etc.
  • A minimum of 3 years of Technical Leadership experiences
  • Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C, Rust) and major machine learning frameworks like Py Torch
  • Hands‑on experience in computer vision and deep learning, with a strong focus on at least two of the following areas: multimodal transformers or VLMs, multimodal language models, diffusion models, NeRF or gaussian splatting, VLA modeling, 3D scene understanding, sensor calibration, autonomous driving, SfM, behavior modeling / prediction, voxel/BEV grid‑based feature representation.
  • Stro…
Position Requirements
10+ Years work experience
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