Bosch
Senior Research Scientist- Robotics AI
$185K–$215K
Sunnyvale, CA, United States · Hybrid · Senior · Full-time · Posted Sep 29, 2026
- Experience
- At least 5 years of R&D experience, or equivalent graduate research background; alternatively, a Master's degree with >= 2/4 years industry experience after graduation.
- Education
- Ph.D. in Computer Science, Robotics, or a related discipline, or Master's degree with the stated industry experience.
About the job
Conduct research and engineering in robotics AI and embodied AI, advancing autonomous systems and transferring research into Bosch products.
What you'll do
- Research and develop AI methods for embodied AI, including computer vision, autonomous planning, and open-world learning.
- Integrate research results into Bosch platforms and collaborate with global research and engineering teams on technology transfer.
- Publish or submit research findings through high-caliber publications and patents, and engage with academic and industry communities.
What they ask for
- Ph.D. in Computer Science, Robotics, or a related discipline, or a Master's degree with >= 2/4 years industry experience after graduation.
- At least 5 years of R&D experience, or equivalent graduate research background, primarily in AI, including Computer Vision and Robotic or Automotive Motion and Behavioral Planning.
- Proficiency in one or more machine-learning programming languages; knowledge of TensorFlow or PyTorch; hands-on reinforcement-learning experience.
- Strong portfolio of publications in premier machine learning, deep learning, robotics, and computer vision journals and conferences; strong interpersonal, communication, and teamwork capabilities.
Nice to have
- Experience with real-world product development and deployment of autonomous systems.
- Hands-on experience with multimodal transformer-based sequence-to-sequence models, especially vision-language-action models, or related computer vision and deep learning areas.
Pay
--$185,000 - $215,000 (USD, base salary)
Tools
Python, C++, Rust, TensorFlow, PyTorch, PPO, DQN, DDPG
AI focus
Research and engineering for embodied AI and robotics, including computer vision, autonomous planning, reinforcement learning, and vision-language-action models, with application to ADAS/AD, industrial automation, and robotics.
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