Senior Research Scientist- Robotics AI

Bosch Group • Sunnyvale, CA

1d

About The Position

The Senior Research Scientist contributes to research projects in embodied and cyber-physical AI, developing and engineering AI technologies for industrial robotics. The role focuses on computer vision, autonomous navigation, and adaptive manipulation for manufacturing, shop-floor automation, logistics, and material handling. It also advances industrial robotics using vision-language-action models for real-time factory reasoning, multi-robot coordination, and operational safety.

The scientist works with global manufacturing engineering, plant operations, and product development teams to transfer technology from simulation to physical shop-floor hardware and integrate it into Bosch manufacturing systems. The role addresses real-world industrial challenges and supports high-reliability integration with smart manufacturing and Industry 4.0 platforms. It also involves engagement with manufacturing and automation communities and dissemination of research through publications, industry white papers, and patents.

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 a related qualification as stated in the posting).
• At least 5 years of R&D experience, or equivalent graduate research experience, 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 publication portfolio in premier machine-learning, deep-learning, robotics, or 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, structure from motion (SfM), or voxel/BEV grid-based feature representation.

Responsibilities

• Conduct research and engineering in AI and machine learning for industrial embodied AI, including computer vision, autonomous navigation, and adaptive manipulation.
• Apply AI technologies to manufacturing, shop-floor automation, logistics, and material handling.
• Advance industrial robotics using large vision-language-action models for real-time factory reasoning, multi-robot coordination, and operational safety.
• Collaborate with global manufacturing engineering, plant operations, and product development teams to transfer technologies from simulation to physical shop-floor hardware and systems integration.
• Implement research results to solve 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 industrial robotics and factory automation conferences.
• Document and disseminate research through publications, industry white papers, and patent submissions.

Benefits

• Competitive base salary of $185,000–$215,000 for California, plus an annual corporate bonus and a long-term incentive bonus.
• Premium health coverage.
• 401(k) with generous matching.
• Financial planning and goal-setting resources.
• Paid time off.
• Parental leave.
• Life and disability protection.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree