As a Research Engineer for ADAS AI Systems, you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include:
- Perform engineering tasks to support research in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc. These tasks include the development and training of AI-planners (using imitation and reinforcement learning), data-preparation tasks (auto-labeling, filtering, etc.), integrating models into a system context, setting up evaluation and benchmarking pipelines, creating demonstrations and visualizations and more.
- Support the team in pushing the boundaries in (modular) end-to-end perception and planning for ADAS/AD, and large vision-language-(action) models.
- 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.