Integration Engineer

At Mentee Robotics, we are building the next generation of intelligent humanoid robots designed to operate seamlessly in real-world environments. Our multidisciplinary team brings together experts in AI, robotics, controls, perception, hardware, and software to solve some of the most complex engineering challenges. We move fast, build end-to-end systems, and continuously push the boundaries of what autonomous humanoid robots can achieve.

Responsibilities:

• Lead the integration, bring-up, and validation of system-level changes across hardware, controls, behavior, AI, and perception subsystems.
• Develop and execute comprehensive bring-up, validation, and end-of-line (EOL) testing processes for humanoid robots throughout the product lifecycle.
• Design and implement validation plans that assess full-robot performance across diverse real-world scenarios and operational conditions.
• Investigate, debug, and resolve complex cross-functional issues spanning mechanical, electrical, firmware, controls, and software domains.
• Partner closely with hardware, controls, behavior, perception, and software teams to define testable requirements and verify subsystem and system-level performance.
• Instrument and analyze robotic systems using diagnostic tools such as oscilloscopes, logic analyzers, telemetry systems, and log analysis frameworks to characterize performance and identify root causes of failures.
• Develop dashboards, KPIs, and reporting tools to monitor robot performance, reliability, and fleet health over time.
• Document integration procedures, validation results, failure analyses, and best practices to improve product quality and build efficiency.
• Drive the development of automated regression testing and continuous validation infrastructure to support rapid iteration and fleet-scale deployment.

Requirements:

• B.Sc. degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related field.
• 3–5+ years of hands-on experience working with complex robotic, autonomous, or electromechanical systems.
• Strong system-level understanding of interactions across hardware, firmware, controls, and software layers.
• Proficiency with common hardware/software debugging and diagnostic tools (e.g., oscilloscopes, multimeters, logic analyzers, telemetry and log analysis tools).
• Strong troubleshooting and root-cause analysis skills in multidisciplinary environments.
• Ability to thrive in a fast-paced, hands-on R&D and production environment with rapidly evolving requirements.
• Excellent communication and collaboration skills, with the ability to work effectively across multiple engineering disciplines.