R
Not Specified Permanent

Sunnyvale, California · USA job

Research Scientist- Robotics AI

Robert Bosch

Sunnyvale, California

Job description

Overview

As a Research Scientist in Robotics AI, you drive cutting-edge AI research for embodied AI, robotics, and ADAS/ADAS-related domains. You will collaborate with global teams to transfer innovations into Bosch platforms, publish findings, and engage with academia. The role emphasizes advancing autonomous systems through multimodal and explainable AI, with impact on real-world products. You join a mission to push the boundaries of intelligent, trustworthy AIoT solutions across Bosch businesses.

Compensation / Benefits
  • competitive base salary
  • annual corporate bonus
  • long-term incentive bonus
  • premium health coverage
  • 401(k) with generous matching
  • paid time off
Responsibilities
  • Conduct advanced research in core AI and ML to enable embodied AI for ADAS/AD, robotics, and related domains
  • Advance AI-driven robotics through multimodal vision-language-action models and reasoning capabilities
  • Collaborate with global research and engineering teams for seamless technology transfer and system integration
  • Translate research results into real-world solutions with high-quality integration into Bosch platforms
  • Engage with academic and industry communities via conferences, workshops, and events
  • Document and disseminate findings through publications and patents
Key requirements
  • Ph.D. in Computer Science, Robotics or related discipline or Master's with >=2 years post-grad industry experience
  • 3 years of R&D experience in AI technologies including Computer Vision and robotics/automotive motion planning
  • Proficiency in Python, C++, or Rust
  • Experience with TensorFlow or PyTorch
  • Hands-on reinforcement learning for behavior or motion planning (e.g., PPO, DQN, DDPG)
  • Strong publication record in ML, DL, robotics and computer vision
  • strong interpersonal communication
  • teamwork
  • cross-functional collaboration
  • reinforcement learning
  • computer vision
  • multimodal transformers

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