RESPONSIBILITIES
- Execute the integration of software components across different domains, including embedded systems, autonomous driving software, and hardware platforms
- Develop and implement comprehensive integration plans to verify system functionality and performance
- Enhance integration processes and methodologies for greater efficiency
- Improve methods for evaluating system performance and the process of analyzing evaluation results, providing appropriate feedback to module developers
- Collaborate with software and hardware engineers to prioritize and organize issues in integration, and provide feedback on specification conflicts to Systems Engineers (SE)
- Identify and debug complex system-level issues arising from the interaction between software and hardware
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Robotics, or a related field, or equivalent experience
- Experience in software engineering with a focus on system integration in autonomous driving systems or similar real-time robotics systems
- The ability to solve complex issues that arise during the system integration process
- Experience in statistical analysis and visualization of evaluation results
- Proficiency in C++ and Python
- Understanding of common software performance trade-offs and pitfalls
NICE TO HAVES
- Master's or PhD in Computer Science, Robotics, or a related field
- Experience in evaluating machine learning-based systems
- Deep knowledge of automotive communication protocols (e.g., CAN, Ethernet)
- Deep knowledge of sensors (e.g., Lidar, Radar, Camera, IMU, DMI, GNSS)
- Experience with software configuration management tools
- Knowledge of agile development methodologies and modern software development tools (e.g., GitHub, JIRA, Confluence, Jenkins)
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