AI Systems Research Scientist for Cloud and Edge Solutions
6 days ago
We are seeking a highly skilled Senior Research Scientist to join our team at Bosch Group Inc. in the exciting field of AI-motivated distributed systems technologies.
About the JobThis challenging role offers a unique opportunity to leverage your expertise in cloud computing, parallel computing, operating systems, middleware frameworks, real-time systems, or network protocols to design and develop innovative solutions for autonomous driving, industrial automation, robotics, and other AIoT business domains.
Key Responsibilities- Collaborate with global teams to transfer cutting-edge research findings to operational units, ensuring seamless integration within existing platforms.
- Implement research results to address real-world challenges, emphasizing high-quality system integration and performance.
- Stay abreast of the latest technological advancements and market trends through regular attendance at academic conferences, technical events, and seminars.
- Provide expert insights to management teams on relevant technology sectors, supporting strategic planning, R&D trajectory, and investment decisions.
- Ph.D. in Computer Science, Robotics, or a related discipline with 2+ years of industry experience or master's degree with 5+ years of industry experience after graduation.
- 5+ years of R&D experience or an equivalent graduate research background in AI-motivated distributed system technologies, 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, such as those for autonomous driving or robotics.
- Hands-on experience with at least one automotive/robotic/general-purpose middleware framework (e.g., AUTOSAR, ROS2, Zenoh, DDS).
- 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, and 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.
The estimated annual salary for this position is $120,000 - $180,000, depending on experience and qualifications.
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