Research Scientist- Robotics AI

Bosch Group•Sunnyvale, CA

2d•$165,000 - $185,000

About The Position

The Research Scientist contributes to research projects at the forefront of the ADAS/AD industry. The role conducts research and engineering in core AI and machine learning to enable Embodied AI—including computer vision, autonomous planning, and open-world learning—for ADAS/AD, industrial automation, robotics, and related business domains. It advances AI-based robotics, including the use of large vision-language-action models to support reasoning and explainability. The scientist collaborates with global research and engineering teams to transfer technology and integrate systems, implements research results to address real-world challenges on Bosch platforms, participates in academic and industry communities, and shares findings through publications and patent submissions.

Requirements

Ph.D. in Computer Science, Robotics, or a related discipline, or a master's degree with at least 2 years of industry experience after graduation.
At least 3 years of R&D experience or equivalent graduate research background, primarily in AI technologies including computer vision and robotic or automotive motion and behavioral planning.
Proficiency in one or more programming languages commonly used in machine learning, such as Python, C++, or Rust.
Strong interpersonal, communication, and teamwork capabilities.
Knowledge of major machine learning frameworks such as TensorFlow or PyTorch.
Hands-on reinforcement learning experience for behavior or motion planning or other applicable contexts, and familiarity with techniques such as PPO, DQN, or DDPG.
A strong portfolio of publications in premier machine learning, deep learning, robotics, and computer vision journals and conferences.

Nice To Haves

Experience with real-world product development and deployment of autonomous systems.
Hands-on experience building and applying multimodal transformer-based sequence-to-sequence models, especially multimodal vision-language-action models.
Hands-on experience in computer vision and deep learning, including one or more of: multimodal transformers, multimodal language models, diffusion models, NeRF, Gaussian splatting, object detection or segmentation, 3D scene understanding, sensor calibration, SfM, and voxel/BEV grid-based feature representation.

Responsibilities

Conduct research and engineering in AI and machine learning to enable Embodied AI for ADAS/AD, industrial automation, robotics, and related domains.
Advance AI-based robotics, including incorporating large vision-language-action models to support reasoning and explainability.
Collaborate with global research and engineering teams on technology transfer and system integration.
Implement research results to solve real-world challenges and integrate systems within Bosch platforms.
Engage with academic and industry communities through conferences, workshops, and technical events.
Document and disseminate research findings through publications and/or patent submissions.