System Software Engineer/Architect
15000 人民币~20000 人民币/每月
全职
5~10年
刷新于 2 个月前
292 查看
50 申请
北京
分享
职位职责
Key Responsibilities:
1. System Architecture Design: Develop and implement advanced software architectures for robotic systems, ensuring scalability, modularity, and efficiency.
2. High-Quality Software Development: Create and optimize key control algorithms to enhance robot intelligence, ensuring robots can autonomously execute tasks effectively.
3. Cross-Module Coordination and Collaboration: Work closely with teams in motion control, perception, and decision-making to ensure seamless interaction and data flow between functional modules, enhancing overall system performance.
4. System Testing and Validation: Design and execute system-level testing strategies to ensure software reliability and stability under various conditions, quickly responding to and resolving potential issues.
5. Technical Documentation: Maintain technical documents, including system design specifications and interface manuals, ensuring team members have a clear understanding and efficient usage of the system architecture.
6. Emerging Technology Application: Actively research and apply emerging technologies to drive innovation in robotic systems in areas like artificial intelligence and machine learning, improving robot intelligence and adaptability.
职位要求
Qualifications:
• Master’s degree or higher in Computer Science, Software Engineering, Robotics, or a related field.
• At least 5 years of experience in system software development and architecture design, particularly in robotics or intelligent hardware.
• Proficiency in programming languages such as C++ and Python, with a solid foundation in algorithms and data structures.
• Extensive experience in system integration and module design, effectively managing interactions and data flows between complex systems.
• Excellent communication skills, capable of collaborating efficiently with interdisciplinary teams.
Preferred Qualifications:
• Experience in developing robotic control systems, with a deep understanding of robotic workflows and applications.
• Familiarity with cloud computing, edge computing, and their applications in robotic systems, along with a background in cutting-edge technology research.
• Experience with agile development practices, adapting to rapidly changing technical requirements, and fostering innovation.
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