Robotics Software Engineer

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 are seeking a versatile Robotics Software Engineer to develop and implement software solutions for our robotic systems. Your work will entail building systems for navigation, planning and controls, SLAM, manipulation, and/or perception. You should be comfortable working with both general-purpose and specialized robotics applications. This role involves close collaboration with research scientists and machine learning engineers to integrate state-of-the-art machine learning models into our robots.

• →Design, implement, and test software to bring our robots to life, focusing on navigation, planning and control, SLAM, perception, manipulation, and/or high-level behaviors.
• →Write and maintain production-level C++ and Python code for our robotic platforms.
• →Collaborate with machine learning engineers and researchers to deploy state-of-the-art models on our robots.
• →Work with deployment and test engineers to deploy and monitor robotic solutions at various sites, ensuring robust performance and reliability.
• →Continuously improve and optimize robotic software for performance, reliability, and scalability.

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing in C++ or Python.
• Prior experience developing and deploying software on real robots.
• Strong systems-level understanding of the various software modules and their interfaces in a robotic application Strong technical experience in at least one of the following: navigation, motion planning and controls, SLAM, perception/computer vision, or manipulation.
• Experience with ROS/ROS2 or other robotics middleware platforms.
• Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
• Familiarity with machine learning integration and deployment in robotic systems.