Research Engineer - Robotics AI

Bosch Group•Sunnyvale, CA

2h•$160,000 - $180,000

About The Position

The Research Engineer - Robotics AI contributes to research projects at the forefront of robot learning within Bosch’s Embodied AI group. The role conducts engineering in core AI and machine-learning areas to enable embodied AI for business domains including automated driving and ADAS, industrial automation, and robotics. It advances AI-based robotics, including the use of large vision-language-action models to support reasoning and explainability. The engineer collaborates with global research and engineering teams to transfer technology and integrate systems, and implements research results to address real-world challenges on Bosch platforms. The role also engages with academic and industry communities and contributes to research dissemination through high-caliber publications and/or patent submissions.

Requirements

Ph.D. in Computer Science, Robotics, or a related discipline, or an outstanding Master's degree.
At least 2 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 major machine-learning frameworks such as TensorFlow or PyTorch.
Hands-on research experience in agentic robotics and/or real2sim2real.

Nice To Haves

Experience with real-world product development and deployment of autonomous systems.
Hands-on experience with reinforcement learning for behavior or motion planning, or other applicable contexts, and familiarity with common techniques such as PPO, DQN, and DDPG.
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, and voxel/BEV grid-based feature representation.
A strong portfolio of publications in premier machine-learning, deep-learning, robotics, or computer-vision journals and conferences.

Responsibilities

Conduct engineering in core AI and machine-learning fields to enable Embodied AI, including computer vision, autonomous planning, and open-world learning, for ADAS/AD, industrial automation, robotics, and related domains.
Advance AI-based robotics by incorporating developments in 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 ensure high-quality integration with Bosch platforms.
Engage with academic and industry communities through conferences, workshops, and technical events.
Collaborate on documenting and disseminating research findings through publications and/or patent submissions.