Skild AI
Robotics Application Engineer
About this role
Skild AI seeks a technical Robotics Application Engineer to develop and deploy software bridging foundation models with real-world robotic systems. You'll integrate solutions into production, troubleshoot failures across hardware and software layers, and collaborate with ML and robotics teams to drive continuous improvements.
What you'll do
- Design, develop, and deploy robotic software including programming, configuration, and validation
- Integrate and deploy robotic solutions into production environments
- Test, troubleshoot, and debug robotic applications across hardware, software, and model layers
- Partner with ML and robotics engineers to identify deployment failures and translate field insights into system improvements
- Analyze and optimize robot algorithms and system performance
- Create documentation, runbooks, and monitoring tools for configuration and performance evaluation
What they're looking for
- Python and C++
- ROS/ROS2
- Robotics application development and system integration
- AI and machine learning for robotic systems
- Autonomous systems (robotics, drones, autonomous vehicles, or industrial automation)
- Vision systems and sensor integration
- Problem-solving and debugging across complex systems
- Field deployment experience
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Skild AI
Skild AI builds software and systems for general-purpose robotic intelligence, including simulation environments for training, manipulation controllers, perception stacks, and foundation model integration. The company is hiring simulation engineers, robotics engineers, controls specialists, computer vision researchers, and application engineers to develop and deploy production-ready autonomous robot systems.
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