Research Scientist Engineer for EndtoEnd Autonomous Systems

Job Description Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related AIoT (AI+IoT) business domains of autonomous driving, industrial automation, robotics, etc. Push the boundaries in (modular) end-to-end perception and planning for automated driving, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability. Collaborate with a global team to transfer cutting-edge research findings to Bosch's operational units. 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. 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 >= 1 / 3 years industry experience after graduation. A minimum of 3 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 computer vision and deep learning, with work in at least two of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, autonomous driving, SfM, voxel/BEV grid-based feature representation. Preferred Qualifications Industry experience with building E2E systems and world models for ADAS development. A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences. Experience with real-world product development and deployment of autonomous systems. Experience in motion planning algorithms for autonomous systems and understanding of probabilistic reasoning and decision-making algorithms. Experience with sensor fusion, (visual) localization, and mapping algorithms. Additional Information The U.S. base salary range for this full-time position is $160,000 - $175,000. 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; short and long term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses. Learn more about our full benefits offerings by visiting:

https://www.myboschbenefits.com/public/welcome

. Pay ranges included in the postings generally reflect base salary; certain positions may include bonus, commission, or additional benefits. By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled. All your information will be kept confidential according to EEO guidelines.

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