Research Scientist- Robotics AI

Bosch Group•Sunnyvale, CA

2d•$185,000 - $215,000

About The Position

The Research Scientist- Robotics AI contributes to research projects in embodied and cyber-physical AI, developing AI and machine learning solutions for industrial robotics and automation. The work focuses on computer vision, autonomous navigation, and adaptive manipulation for manufacturing, shop-floor automation, logistics, and material handling. The role advances industrial robotics through large vision-language-action models for real-time factory reasoning, multi-robot coordination, and operational safety. It also involves transferring technology from simulation to physical shop-floor systems, integrating reliable solutions into Bosch smart manufacturing and Industry 4.0 platforms, and collaborating with manufacturing engineering, plant operations, product development, and external research and automation communities. Research findings are documented and shared through publications, industry white papers, 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 (4 years for the master's-degree pathway, as specified in the posting).
At least 5 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 machine-learning programming languages, such as Python, C++, or Rust.
Strong interpersonal, communication, and teamwork capabilities.
Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
Hands-on experience with reinforcement learning for behavior or motion planning or other applicable contexts, and familiarity with techniques such as PPO, DQN, and DDPG.
A strong portfolio of publications in leading 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 in areas such as multimodal transformers, multimodal language models, diffusion models, NeRF, Gaussian splatting, object detection or segmentation, 3D scene understanding, sensor calibration, SfM, or voxel/BEV grid-based feature representation.

Responsibilities

Conduct research and engineering in AI and machine learning, including computer vision, autonomous navigation, and adaptive manipulation for industrial applications.
Apply advances in large vision-language-action models to factory reasoning, multi-robot coordination, and operational safety.
Collaborate with global manufacturing engineering, plant operations, and product development teams to transfer technology from simulation to physical shop-floor hardware and integrate systems.
Implement research results to address industrial challenges and support high-reliability integration with Bosch smart manufacturing and Industry 4.0 platforms, including APAS and active production environments.
Engage with manufacturing technology consortia, automation communities, and conferences focused on industrial robotics and factory automation.
Document and disseminate findings through publications, industry white papers, and patent submissions.