Research Engineer - Robotics AI

Bosch Group•Sunnyvale, CA

3d•$160,000 - $180,000

About The Position

The Research Engineer - Robotics AI contributes to research projects at the forefront of robot learning within Bosch Research and Technology Center North America’s Embodied AI group. The group develops technologies for future autonomous Bosch products, advancing automated driving, ADAS, robotics, and automation through innovations in system architecture and AI components, including motion planning, high-level task planning, decision-making, and systems integration. The role conducts engineering in core AI and machine learning to enable embodied AI across business domains such as ADAS/AD, industrial automation, and robotics. It advances AI-based robotics, including the use of large vision-language-action models to improve reasoning and explainability. The engineer collaborates with global research and engineering teams, implements research results to address real-world challenges, and supports high-quality integration with Bosch platforms. The role also engages with academic and industry communities and helps document and disseminate research through publications and 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 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 research experience in agentic robotics or real2sim2real.

Nice To Haves

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

Responsibilities

Conduct engineering in core AI and machine learning, including computer vision, autonomous planning, and open-world learning, for ADAS/AD, industrial automation, robotics, and related business 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 integrate systems 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 patent submissions.