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# Robotics Application Engineer

- **Company:** Skild Ai
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Programming, Software Debugging, Python (Programming Language), Robotic Automation Software, Runbook, Software Engineering, Software Systems, Systems Integration, Visual Systems, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_af464449e1dc1ab68c84284bd929ec71

## About the Role

We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects., * 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.

## Description

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., * 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-tracing failures across hardware, software, and model layers.
 * Work closely with ML and core robotics engineers to surface deployment failures, reproduce edge cases, and translate field learnings into system improvements.
 * Analyze and improve robot algorithms and system performance over time.
 * Build and maintain technical documentation, runbooks, and tooling to support configuration, monitoring, and performance evaluation.
 * Collaborate with hardware, operations, and R&D teams to optimize robotic performance and scalability.