Research Scientist for Distributed Intelligent Systems

Conduct advanced research and engineering in reliable distributed systems, especially using AI approaches, to enable Cloud and Edge powered Embodied AI solutions for related AIoT (AI+IoT) business domains of autonomous driving, industrial automation, robotics etc. Collaborate with a global team to transfer cutting-edge research findings to Bosch's operational units. Collaborate with renowned university UC Berkeley on scalable and distributed autonomous systems research. Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science, Robotics or a related discipline or master’s degree with 2+ years industry experience after graduation. A minimum of 3 years of R&D experience, or an equivalent graduate research background, primarily in AI-motivated distributed system technologies and architectures including cloud computing, parallel computing, operating systems, middleware frameworks, real-time systems or network protocols. Proficiency in one or more programming languages commonly used in systems research (e.g., Rust, C++, Python). In-depth experience with autonomous system architectures, e.g. for autonomous driving or robotics. Hands-on experience with at least one automotive / robotic / general purpose middleware framework (e.g. AUTOSAR, ROS2, Zenoh, DDS). Preferred Qualifications Experience with real-world product development and deployment of autonomous systems. A strong portfolio of publications in premier computer systems, machine learning, deep learning, robotics, computer vision journals and conferences. Familiarity with AI inferencing and training, knowledge of major machine learning frameworks like TensorFlow or PyTorch. Experience in reliable and safe distributed function design. Experience developing and analyzing real-time and/or safety-critical systems. Experience with automotive safety (e.g. ISO 26262) and communication standards (e.g. V2X) and past participation in standardization efforts is a plus. Experience with automotive architecture design is a plus. Experience with object detection, tracking and mapping approaches for robotic or automotive applications is a plus. Strong background in math and statistics is a plus. Strong interpersonal, communication, and teamwork capabilities. Additional Information BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives: FIRST Robotics (For Inspiration and Recognition of Science and Technology) AWIM (A World In Motion) By choice, we are committed to a diverse workforce – EOE/Protected Veteran/Disabled. For more information on our culture and benefits, please visit: Culture and Benefits | Bosch in the USA The U.S. base salary range for this full-time position is $ 155,000 - $ 170,000. Within the range, 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 Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

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