Robotics Application Engineer

Job summary

Responsibilities

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within…

• Design, develop, and deploy software for robotic systems, including programming, configuration, and validation.
• Integrate and deploy robotic software solutions into production environments.
• Test, troubleshoot, and debug robotic applications — tracing failures across hardware, software, and model layers.
• Work closely with ML and core robotics engineers to surface deployment failures, reproduce edge cases, and translate field learnings into system improvements.
• Analyze and improve robot algorithms and system performance over time.

What they're looking for

• BS, MS, or higher degree in Computer Science, Robotics, or a related field, or equivalent practical experience.
• 3–5+ years of hands-on experience in robotics application development, system integration, or field deployment.
• Proficiency in Python and C++; strong working knowledge of ROS/ROS2.
• Familiarity with AI and machine learning techniques as applied to robotic systems.
• Background in autonomous systems — robotics, drones, autonomous vehicles, industrial automation, or similar.

Tech stack

• Python
• C++