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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Engineer- Advanced Driver Assistance Systems - **Company:** Robert Bosch GmbH - **Location:** Sunnyvale, CA, United States - **Salary:** $162,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Language Modeling, Motion Planning, Object Detection, Tensorflow, Software Engineering, Systems Integration, Reinforcement Learning, Rust (Programming Language), Pytorch, Deep Learning, Information Technology, Programming Languages - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/28bb0f35-4857-469d-a55f-c534b4e7663e/research-engineer-advanced-driver-assistance-systems-adas ## About the Role * Master's degree in computer science, robotics or a related discipline or undergraduate degree with at least 2 years of industry experience after graduation. * A minimum of 2 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 software engineering competencies. * Strong interpersonal, communication, and teamwork capabilities. * Knowledge of major machine learning frameworks like 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)., * 1 year industry experience in relevant fields after graduation. * Experience with real-world product development and deployment of autonomous systems. * Hands-on experience building, training 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 any of the following areas: 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. ## Description 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. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Code to Road in < 12 hours](https://www.wearedevelopers.com/videos/1082-code-to-road-in-12-hours) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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