Jobbeschreibung:
About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities: Design and Development: Lead the end-to-end design, development, and implementation of robust AI/ML models (e.g., Deep Learning models for perception, prediction, and control) for production use in automotive platforms. Data Pipeline Management: Develop and manage large-scale data pipelines for the collection, cleaning, annotation, and augmentation of complex automotive sensor data (e.g., LiDAR, RADAR, camera, ultrasonic) required for model training and validation. Model Optimization and Deployment: Optimize ML models for performance, latency, and memory constraints on Edge devices and automotive-grade Electronic Control Units (ECUs), utilizing techniques like quantization, pruning, and hardware acceleration. Validation and Testing: Collaborate with verification and validation (V&V) teams to rigorously test and evaluate AI models against safety-critical standards and real-world driving scenarios. System Integration: Integrate developed AI software components with the vehicle’s operating system and other hardware/software subsystems, ensuring seamless functionality and reliability. Research and Innovation: Stay abreast of the latest AI/ML research and automotive technologies, proactively proposing and prototyping innovative solutions to enhance product performance and features. Required Qualifications: Experience: 3–5 years of professional experience in developing and deploying AI/ML solutions, with a significant portion of this experience directly in the automotive domain. Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field. Technical Proficiency: Expertise in common ML/DL frameworks (PyTorch, TensorFlow). Strong programming skills in Python and C++ (essential for production-level embedded systems). Hands-on experience with Computer Vision algorithms (e.g., object detection, semantic segmentation, tracking) and libraries like OpenCV. Proven experience with automotive sensor data processing and Sensor Fusion techniques. Automotive Domain Knowledge: Familiarity with automotive communication protocols (CAN, Ethernet) and architectures. Understanding of safety-critical systems and standards (ISO 26262). Preferred Skills (Nice to Have): Experience with MLOps practices and tools for model lifecycle management. Familiarity with automotive operating systems like AUTOSAR or QNX. Knowledge of simulation tools (e.g., CARLA, IPG CarMaker) for testing AI models. Experience in reinforcement learning or predictive modeling for vehicle diagnostics or user behavior. Educational Qualifications: Bachelor's / Master’s degree in Engineering disciplines such as Computer Science, Information Technology, or related fields. Additional certifications (if any): Agile, DevOps, etc. Preferred Qualifications (Good to Have): Domain knowledge in automotive engineering or related fields. Exposure to international projects and global stakeholder management. Experience with Daimler systems or similar global platforms. Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.
