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Location
In office (Shanghai)
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 10, 2026. Mobileye scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mobileye is an Israeli company founded in Jerusalem in 1999 by the computer scientist Amnon Shashua and the entrepreneur Ziv Aviram, built on the then-contrarian idea that a single camera and clever software could handle driver assistance without radar or lidar. Its EyeQ system-on-chip has shipped in more than two hundred million vehicles, making it the dominant supplier of vision-based driver assistance to the global car industry. Acquired by Intel for fifteen billion dollars in 2017 and returned to public markets in 2022, the company now sells escalating tiers from basic assistance through the SuperVision and Chauffeur hands-off systems up to the fully driverless Mobileye Drive platform.

At Mentee Robotics, we are redefining humanoid automation with an AI-first approach - combining perception, reasoning, and dexterous manipulation into fully autonomous systems that continuously learn and improve.

We offer an exceptional opportunity to participate in building next-generation commercial humanoid robots from 0 to 1, alongside competitive compensation and an international engineering environment.

We are expanding with a new robotics Engineering Center in China, working hand-in-hand with our engineering teams in headquarters. Its mission: to rapidly develop our next-generation full-size humanoid platform and bring it to production.

We are looking for a System-Level Software Test Engineer to own software testing for our humanoid robots, covering foundational software, embedded software, motion, interaction, manipulation, and cloud systems. By shifting testing earlier in the development cycle, identifying risks, and performing system-level verification, you will ensure our robot software designs are safe, reliable, and stable.

What you'll do

    • Own functional and performance integration verification of the robot body software system for both engineering prototypes and mass-production robots, including motion capability, voice interaction, navigation and localization, and teleoperation.
    • Based on software functional requirements and product definition, design and develop test plans and test strategies, write test cases, and design end-to-end test scenarios.
    • Execute test items, deliver test reports, analyze results, identify defects, and drive issues to closure end-to-end.
    • Continuously improve the test toolchain and test solutions to raise testing efficiency.
    • Participate in requirement, architecture, and design reviews, raise testability considerations, and help optimize designs.
    • Build automated testing, simulation, data replay, test bench, fault injection, log analysis, and automated evaluation systems.
    • Set up semi-physical simulation environments integrating grippers, dexterous hands, arms, RGB-D cameras, fisheye cameras, force sensors, tactile sensors, and compute platforms.
    • Test against interfaces including ROS 2 topic/action, CAN/CAN FD/EtherCAT, serial, and Ethernet.

What you'll bring

    • Bachelor's degree or above in Computer Science, Automation, Mechanical Engineering, Electrical & Electronic Engineering, or a related field, with experience in intelligent system testing; humanoid robot testing experience is a plus.
    • Proficiency in at least one programming language, C++ or Python, with solid coding style.
    • Hands-on experience with at least one automated testing tool and some test development experience.
    • Familiarity with testing processes and quality gates; understanding of robot architecture and testing approaches.

Nice to have

    • Experience with SIL (software-in-the-loop) or HIL (hardware-in-the-loop) test simulation.
    • Software-hardware awareness, with a working understanding of hardware.
    • Ability to understand robot algorithm principles.
    • Familiarity with the working principles and data interfaces of various sensors.
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