Senior C++ Robotics Engineer, Cyngn

• If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you
• 5+ years of experience in robotics software development or system integration
• Strong proficiency in ROS/ROS2 and Ubuntu-based systems
• Extensive experience with real-time system performance optimization and CUDA programming
• Deep understanding of autonomous vehicle architecture and systems integration
• Strong background in electrical systems, CAN protocols, and firmware development
• Expertise in container technologies (Docker, Podman) and their underlying systems
• Experience with configuration management tools like Ansible
• Strong programming skills in C++, Python, and shell scripting
• Thorough understanding of networking principles and protocols
• Experience with high-performance computing and system optimization
• Strong debugging and problem-solving skills across hardware and software domains
• Excellent documentation and communication skills

Desirable

• Based in Menlo Park, CA, Cyngn is a publicly traded autonomous vehicle company. Whether at a warehouse floor, mine, or construction site, our self-driving technology can be deployed in various commercial domains across various vehicle form factors
• To build this emergent technology, we seek innovative, motivated, and experienced leaders to join our team and move this field forward
• As a Robotics and System Integration Engineer at Cyngn, you will play a vital role in developing and integrating autonomous vehicle systems
• You will work on mission-critical software components, system optimization, and hardware integration across our autonomous vehicle fleet
• Your expertise in robotics, system administration, and performance optimization will be crucial in ensuring our autonomous solutions operate reliably and efficiently in industrial environments
• Design and implement robust robotics software using ROS/ROS2 framework
• Develop and maintain critical system components including state management, health monitoring, and diagnostic tools
• Create and optimize high-performance software for processing sensor data from LiDAR, cameras, and other perception systems
• Implement and maintain CAN bus communications and firmware update systems
• Configure and optimize container environments for various autonomous vehicle components
• Develop and maintain system provisioning and configuration management tools
• Implement performance profiling and optimization across the autonomous vehicle stack
• Create and maintain automated testing and validation frameworks for system integration
• Troubleshoot complex system issues across hardware, software, and network interfaces
• Collaborate with cross-functional teams to integrate perception, localization, and control systems
• Optimize system performance for real-time processing of high-bandwidth sensor data
• Develop and maintain documentation for system architecture and integration procedures