Robotics Application Engineer

Skild AIPittsburgh, PA
$100,000 - $300,000

About The Position

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.

Requirements

  • 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.

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.
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