Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for a Senior C++ Robotics Engineer to join our team. As a key member of our engineering team, you will play a vital role in developing and integrating autonomous vehicle systems.

Responsibilities

• 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

Requirements

• 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 Have

• 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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Responsibilities:

• Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.
• Participate in and contribute to parallel programming interface specifications like MPI/OpenSHMEM.
• Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.
• Create proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.

Requirements:

• M.S./Ph.D. degree in CS/CE or equivalent experience.
• 5+ years of relevant experience.
• Excellent C/C++ programming and debugging skills.
• Strong experience with Linux.
• Expert understanding of computer system architecture and operating systems.
• Experience with parallel programming interfaces and communication runtimes.
• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Nice to Have:

• Deep understanding of technology and passionate about what you do.
• Experience with CUDA programming and NVIDIA GPUs.
• Knowledge of high-performance networks like InfiniBand, iWARP etc.
• Experience with HPC applications.
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

Benefits:

• Highly competitive salaries.
• Comprehensive benefits package.
• Eligibility for equity.
• Opportunity to work with a world-class engineering team.
• Ability to work in a dynamic matrix environment.
• Opportunity to contribute to cutting-edge technology.
• Flexible work arrangements.
• Professional development opportunities.

How to Apply:

Applications for this job will be accepted at least until March 13, 2026. NVIDIA uses AI tools in its recruiting processes.

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What you'll do

Research & Development

• Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO)
• Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products

What you need

• Proven experience with large-scale LLMs and Deep Learning systems

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