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Skills
Algorithmsunmatched
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
C++ Programming Languageunmatched
Computer Scienceunmatched
Continuous Improvementunmatched
Cross-Functionalunmatched
Debugging Skillsunmatched
Machine Learningunmatched
Machine Toolunmatched
Performance Analysisunmatched
Performance Reviewsunmatched
Performance Tuning/Optimizationunmatched
Problem Solving Skillsunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Research & Development (R&D)unmatched
Roboticsunmatched
Simulationunmatched
Software Developmentunmatched
Software Engineeringunmatched
System Integration (SI)unmatched
System Operationsunmatched
Systems/Internals Programmingunmatched
Technical Writingunmatched
Testingunmatched
Unmanned Aircraft Systems (UAS)unmatched
Description
About Skild AI
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.
Position Overview
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.
Responsibilities
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
Preferred Qualifications
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.