Senior Research Scientist- Robotics AI

Company Description Bosch Research and Technology Center North America (RTC-NA) is a part of the global Bosch Group and has offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts. The RTC-NA is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors, wireless, and advanced MEMS design. With over 70 billion euro in revenue and 400,000 employees worldwide, Bosch has a long history spanning more than 125 years. The AI research in Silicon Valley focuses on foundation models, big data visual analytics, explainable AI (XAI), natural language processing, computer vision and mixed reality, cloud robotics, data science, AI system engineering, and time‑series analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home, and building solutions. Job Description As a Senior Research Scientist – Robotics AI, you will contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include: Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open‑world learning, and related domains of ADAS/AD, industrial automation, robotics, etc.) Push the boundaries in AI‑based robotics, incorporating advancements in large vision‑language (action) models to aid reasoning capabilities and explainability Collaborate cross‑functionally with global research and engineering teams to ensure seamless technology transfer and system integration Implement research results to solve real‑world challenges, ensuring high‑quality system integration within Bosch’s existing platforms Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events Document and disseminate research findings through high‑caliber publications and/or patent submissions Basic Qualifications Ph.D. in Computer Science, Robotics, or a related discipline, or a 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 such as 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 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 Additional Information 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 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, and job location. Your well‑being matters at Bosch. We offer a benefits package designed to empower you in every area of your life, including 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. The recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: Equal Opportunity Employer 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. #J-18808-Ljbffr Bosch USA