As a Senior Research Scientist- Robotics AI, you contribute to research projects at the forefront of the Embodied and Cyber-physical AI industry. Key responsibilities include:
Key Responsibilities
- Conduct research and engineering in core AI and machine learning fields to enable industrial embodied AI—including computer vision, autonomous navigation, and adaptive manipulation—specifically for manufacturing, shop-floor automation, logistics, and material handling domains.
- Push the boundaries in industrial robotics by incorporating advancements in large vision-language-action models to enhance real-time factory reasoning, multi-robot coordination, and operational safety.
- Collaborate cross-functionally with global manufacturing engineering, plant operations, and product development teams to ensure seamless technology transfer from simulation to physical shop-floor hardware and systems integration.
- Implement research results to solve complex, real-world industrial challenges, ensuring high-reliability system integration within Bosch’s smart manufacturing and Industry 4.0 platforms (such as APAS and active production environments).
- Stay at the forefront of industrial innovation by actively engaging with manufacturing technology consortia, automation communities, and specialized conferences focused on industrial robotics and factory automation.
- Document and disseminate research findings through high-caliber publications, industry white papers, and/or foundational patent submissions tailored to industrial automation and robotics.
Basic Qualifications
- Ph.D. in Computer Science, Robotics or a related discipline or Master's degree with >= 2/4 years industry experience after graduation.
- A minimum of 5 years of R&D experience, or an 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 (e.g., Python, C++, Rust).
- Strong interpersonal, communication, and teamwork capabilities.
- Knowledge of major machine learning frameworks like TensorFlow or PyTorch.
- Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO, DQN, DDPG).
- A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences.
Preferred Qualifications
- 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, with work in any of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, SfM, voxel/BEV grid-based feature representation.
We offer a competitive base salary for this position with a range in US-California of --$185,000 - $215,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.
Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.
Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome.
Equal Opportunity Employer, including disability / veterans.
*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
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