Autobrains Technologies Benefits Overview

Design, develop, integrate, and optimize production-grade software infrastructure for Level 4 autonomous vehicles. Responsibilities include supporting perception and planning pipelines, integrating hardware and software modules, debugging system-level performance and reliability issues, documenting designs, and collaborating with hardware, algorithms, and verification teams. The role requires strong Python and C++ skills, ROS/ROS 2 experience, real-time systems expertise, and knowledge of memory management, concurrency, synchronization, and low-level optimization.

Develop and deploy real-time AI models for autonomous driving, including vision-language, motion prediction, imitation learning, and reinforcement learning systems. Bridge cloud-scale training with efficient edge deployment through compression, quantization, and inference optimization. Translate research into production systems, collaborate on autonomy architecture and long-horizon planning, and evaluate state-of-the-art AI techniques for safety-critical automotive applications.

Develop and improve autonomous vehicle planner software that determines driving maneuvers. Monitor software releases, evaluate performance improvements or degradation during daily real-vehicle testing, and participate in test drives. The role requires close collaboration with testing activities and hands-on problem solving in robotics and autonomous driving.