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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. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
We're looking for a hands-on, highly technical Robotics Application Engineer to work on the software that bridges our foundation models and real-world deployment. This role sits at the intersection of software development, systems integration, and operations — requiring a blend of technical depth and creative problem-solving. You'll translate complex real-world requirements into robust, deployable robotic solutions and collaborate closely with cross-functional teams to deliver and continuously improve them.
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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.
Familiarity with vision systems, simulation tools, and sensor integration.
Strong analytical and problem-solving skills with the ability to work in a fast-paced, dynamic environment.
Robotics AI startup building the world's first general-purpose robotic intelligence designed to be robust and adaptable to unseen scenarios through large-scale data-driven machine learning.
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