Robotics Application Engineer

About the Company

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 society.

Responsibilities

• 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 across hardware, software, and model layers
• Work with ML and core robotics engineers to surface deployment failures and reproduce edge cases
• Analyze and improve robot algorithms and system performance over time
• Build and maintain technical documentation, runbooks, and tooling
• Collaborate with hardware, operations, and R&D teams to optimize performance and scalability

Requirements

• BS, MS, or higher degree in Computer Science, Robotics, or a related field
• 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 applied to robotic systems
• Background in autonomous systems such as robotics, drones, or autonomous vehicles
• Familiarity with vision systems, simulation tools, and sensor integration