BS, MS, or higher degree in Computer Science, Robotics, or related field, or equivalent practical experience.
3-5+ years in hands-on robotics application development, system integration, or field deployment.
Proficiency in Python and C++; strong knowledge of ROS/ROS2.
Familiarity with AI and machine learning techniques for robotics.
Experience in autonomous systems such as drones, vehicles, or industrial automation.
Knowledge of vision systems, simulation tools, and sensor integration.
Strong analytical and problem-solving skills in fast-paced environments.
Responsibilities
Design, develop, and deploy software for robotic systems including programming and validation.
Integrate and deploy robotic software solutions into production environments.
Test, troubleshoot, and debug robotic applications across hardware, software, and model layers.
Collaborate with ML and robotics engineers to resolve deployment failures and improve systems based on field learnings.
Analyze and enhance robot algorithms and system performance over time.
Maintain technical documentation, runbooks, and tooling for configuration and performance evaluation.
Work with hardware, operations, and R&D teams to optimize robotic performance.
Benefits
Collaborative environment at the intersection of software and robotics.
Hands-on experience that bridges software and real-world deployment.
Opportunity to work closely with cross-functional teams including ML and engineering.
Emphasis on continuous learning and improvement of robotic systems.
Full Job Description
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.
