תיאור המשרה
Description
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.
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