Senior C++ Robotics Engineer

About Cyngn Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity. We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact. We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation. About this Role: 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. What you will do in this role

• Design and implement robust robotics software using C++ and 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

Who you are

• 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

Nice to haves

• Experience with fleet management systems or logistics software
• Experience with industrial automation or autonomous mobile robots
• Knowledge of Open-RMF middleware framework
• Experience with telematics data processing and analytics
• Familiarity with computer vision and machine learning deployment
• Experience with over-the-air (OTA) update systems
• Knowledge of safety-critical software development practices
• Experience with real-time operating systems
• Familiarity with automotive-grade software development
• Background in system safety and fault tolerance design
• Experience with simulation environments for autonomous systems testing
• Knowledge of DevOps practices and CI/CD pipelines

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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