Perception Research Scientist
4 weeks ago
We are seeking a Perception Research Scientist to contribute to our cutting-edge team in autonomous driving technology. In this role, you will conduct advanced research and development to design, implement, and improve perception algorithms and models for real-world autonomous systems and industry solutions. You will focus on delivering high-performance solutions to achieve safe, robust, and efficient perception capabilities for vehicles/robots. Experience in deploying perception solutions in real products is a plus, such as sensor fusion, object detection, segmentation, localization, and tracking etc. This position offers a unique opportunity to advance state-of-the-art autonomous driving technology and work with leading researchers and engineers in the field.
Key Responsibilities
- Research & Development: Work on research, design, and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values.
- Algorithm Optimization: Implement and optimize perception algorithms that ensure high accuracy, real-time performance, and robustness under various environmental conditions (weather, lighting).
- Sensor Integration: Work with data from multiple sensor modalities, including LiDAR, radar, camera, and GPS, to create reliable and fused perception models.
- Data Collection & Annotation: Collaborate with data engineering teams to establish data requirements and ensure efficient collection, annotation, and curation of datasets for perception model training and validation.
- Simulation & Testing: Design and run simulations and tests to evaluate and benchmark perception algorithms in real-world and simulated environments.
- Cross-Functional Collaboration: Partner with other business units or teams to ensure smooth integration of perception solutions into real products.
- Publication & Intellectual Property: Contribute to academic publications and patents, staying up-to-date on the latest research in autonomous driving and related fields.
Qualifications
Required Qualifications
- Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field, with a strong focus on perception, machine learning, or computer vision.
- Experience: 3+ years of experience (preferred) in research and development in computer vision, machine learning, robotics, or autonomous systems, particularly in perception for autonomous vehicles.
- Problem-Solving Abilities: Highly self-motivated. Ability to tackle complex challenges, work independently, and manage multiple projects.
- Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. Experience with perception algorithms and tools for object detection, segmentation, and 3D point cloud programming skills in Python and/or C++, with experience in ROS and OpenCV preferred. Knowledge of sensor techniques for LiDAR, radar, camera, and GPS data.
Preferred Qualifications
- Publications in top-tier conferences/journals in machine learning, computer vision, robotics, or autonomous driving. Experience with real-world perception systems for autonomous driving understanding of robotics software stack and safety-critical systems.
Additional Information
Internal Referral bonus of this vacancy: RMB 10,000 (Valid only for Bosch associates). For the detailed regulation, please refer to Bosch China Internal Referral Policy.
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Shanghai, Shanghai, China Bosch Group Full timeWe are seeking a highly skilled Perception Research Scientist to contribute to the development of cutting-edge autonomous driving technology. In this role, you will design, implement, and improve perception algorithms and models for real-world autonomous systems.Key Responsibilities:Develop and enhance machine learning models for perception tasks, including...
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