Senior C++ Robotics Engineer

Cyngn; Mountain View (WY); Hybrid; USD 198,000 - 225,000; Full time

Benefits offered by this job

Health benefits

401(k)

Remote or hybrid work

Sabbatical after 5 years

Parental leave

Lunches / kitchen access

Meal allowances for remote workers

Job summary

Cyngn is seeking a Robotics and System Integration Engineer to develop and integrate autonomous vehicle systems across our fleet. You will work on mission-critical software components, system optimization, and hardware integration in industrial environments.

You will design robust robotics software using C++ and ROS/ROS2, optimize real-time sensor processing, manage CAN communications and firmware updates, and configure containers for vehicle components.

Qualifications

• 5+ years of robotics software development or system integration.
• 0
• Extensive experience with ROS/ROS2 on Ubuntu-based systems.
• 0
• Deep understanding of autonomous vehicle architecture and systems integration.
• 0
• Strong background in electrical systems, CAN protocols, and firmware development.
• 0
• Expertise in container technologies and configuration management tools.

Responsibilities

• Design and implement robust robotics software using C++ and ROS/ROS2 framework.
• Develop and maintain core system components including state management, health monitoring, and diagnostics.
• Create and optimize high-performance software for processing sensor data from LiDAR and cameras.
• Implement and maintain CAN bus communications and firmware update systems.
• Configure and optimize container environments for autonomous vehicle components.
• Develop and maintain system provisioning and configuration management tools.
• Perform performance profiling and optimization across the stack.
• Create automated testing and validation frameworks for system integration.
• Troubleshoot complex hardware, software, and network issues.
• Collaborate with perception, localization, and control teams for integrated systems.
• Optimize real-time processing of high-bandwidth sensor data.
• Develop and maintain architecture documentation and procedures.

Skills

ROS/ROS2

C++

Python

Real-time systems

CAN protocols

CUDA programming

Docker

Podman

Shell scripting

Networking

Tools

Docker

Podman

CUDA toolkit

Linux (Ubuntu)

Job description

About the 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’ll do

• 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

Qualifications

• 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

Bonus Qualifications

• 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
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages
• Monthly meal and tech allowances for remote employees

$198,000 - $225,000 a year

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.