Research Scientist- Robotics AI

Bosch Group•Sunnyvale, CA

2h•$185,000 - $215,000

About The Position

The Research Scientist- Robotics AI contributes to research projects in embodied and cyber-physical AI. The role conducts research and engineering in AI and machine learning for industrial embodied AI, including computer vision, autonomous navigation, and adaptive manipulation for manufacturing, shop-floor automation, logistics, and material handling. It advances industrial robotics by applying large vision-language-action models to factory reasoning, multi-robot coordination, and operational safety. The scientist collaborates with global manufacturing engineering, plant operations, and product development teams to transfer technologies from simulation to physical shop-floor hardware and integrate them into Bosch smart manufacturing and Industry 4.0 platforms, including APAS and active production environments. The role also engages with manufacturing technology consortia, automation communities, and specialized conferences, and disseminates research through publications, industry white papers, and patent submissions. The position is part of Bosch Research and Technology Center North America and its Intelligent Autonomous Systems group, which develops technologies for autonomous Bosch products and collaborates with Bosch business units, academia, and industry. The advertised California base salary range is $185,000–$215,000, with an annual corporate bonus and a long-term incentive bonus. Bosch also describes benefits including health coverage, a 401(k) with matching, financial-planning resources, paid time off, parental leave, and life and disability protection. Employment is contingent on passing a drug screen and background check.

Requirements

Ph.D. in Computer Science, Robotics, or a related discipline, or a master's degree with at least 2 or 4 years of industry experience after graduation (as stated 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 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, and 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 computer vision and deep-learning experience in areas such as 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, including computer vision, autonomous navigation, and adaptive manipulation for manufacturing, shop-floor automation, logistics, and material handling.
Apply advances in large vision-language-action models to industrial robotics, including real-time factory reasoning, multi-robot coordination, and operational safety.
Collaborate with manufacturing engineering, plant operations, and product development teams to transfer technology from simulation to physical shop-floor hardware and support systems integration.
Implement research results to address industrial challenges and integrate reliable systems into Bosch smart manufacturing and Industry 4.0 platforms, including APAS and active production environments.
Engage with manufacturing technology consortia, automation communities, and specialized conferences focused on industrial robotics and factory automation.
Document and disseminate research through publications, industry white papers, and patent submissions.