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Deploys, installs, configures, commissions, tests, and troubleshoots robotic systems at customer sites. Provides remote technical and customer support, resolves hardware, software, networking, and integration issues, trains users, documents deployments, and coordinates with engineering and product teams. The role requires hands-on technical troubleshooting, customer communication, system validation, travel, and physical equipment installation work.

Create, shoot, and edit short-form video content for TikTok, Instagram, and emerging platforms. Identify trends, develop branded content concepts, grow Skild AI’s social presence, and collaborate with creative, marketing, and robotics teams. This on-site role emphasizes rapid experimentation, consistent posting, and translating AI and robotics innovations into engaging content.

The Robotics Engineer will enhance software performance via automated testing, design test plans, debug issues, and maintain robots for deployment.

The Robotics Engineer will design automated software tests, maintain robots for deployment, and collaborate with software developers to enhance product quality.

Design and develop hardware systems integrating mechanical and electrical components, working closely with cross-functional teams to ensure reliability and performance.

The UI/UX Designer will create user interfaces for robot control applications, develop 3D models, optimize designs, and collaborate with teams to enhance user experiences.

The role involves enhancing software reliability for robotic systems, leading discussions, and collaborating with machine learning and deployment teams to ensure integration of AI models.

The Firmware Engineer will develop and optimize firmware for BLDC motor control and embedded systems, ensuring seamless integration and performance.

The Robotics Engineer will develop software solutions for robotic manipulation, design algorithms, and collaborate with the ML team on real robot deployments.

The Computer Vision AI & ML Engineer will develop and optimize deep learning models for robotics perception systems, collaborating across teams to integrate models and evaluate performance.