Robotics Software Engineer

Position Overview

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. 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 control, SLAM, perception, manipulation, and/or high-level behaviors while collaborating with research scientists and machine learning engineers to integrate state-of-the-art models into our robots.

Key Responsibilities

• Design, implement, and test software for robotics 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.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency in developing with C++ or Python.
• Prior experience developing and deploying software on real robots.
• Strong systems-level understanding of software modules and their interfaces in robotic applications, with experience in areas such as 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.

Compensation

• Base Salary Range: $100,000-$300,000 USD