Robotics Application Engineer

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.