Microvast Holdings, Inc. (Nasdaq: MVST) is a technology innovator that designs, develops and manufactures lithium-ion battery solutions. Founded in 2006 and headquartered in Houston, TX, Microvast is renowned for its cutting-edge cell technology and its vertical integration capabilities which extends from core battery chemistry (cathode, anode, electrolyte, and separator) to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. More information can be found on the corporate website: www.microvast.com.

JOB SUMMARY:

We are looking for an innovative and detail-oriented AI/Robotics Safety Research Engineer to join our interdisciplinary team working on next-generation autonomous systems. This role focuses on developing algorithms, simulations, and safety mechanisms for intelligent robotic systems, including real-time power management, fault detection, and safe control under uncertain environments.

QUALIFICATIONS:

· Bachelor’s or Master’s in Robotics, AI, Electrical Engineering, Computer Science, or related field
· 3+ years of experience in robotics or AI systems development
· Strong programming skills (Python, C++, ROS, or similar)
· Experience with control algorithms, simulation platforms, or digital twin environments
· Familiarity with robotic power systems, embedded controls, or battery management is a plus
· Understanding of safety standards or reliability analysis for autonomous systems
· Excellent problem-solving, coding, and collaborative development skills
Preferred Skills:
· Experience with reinforcement learning or safe policy learning
· Knowledge of IEC/ISO safety standards for robotics (e.g., ISO 13849, IEC 61508)
· Hands-on experience with embedded real-time OS or hardware-in-the-loop testing
· Publications or patents in AI safety, robotics, or system reliability

EXPERIENCE REQUIRED:

3+ years in AI, robotics, safety simulation, or robot power/control systems

· Design and implement simulation models for robotic safety scenarios
· Develop safety-critical AI algorithms for robotic control and fail-safe behavior
· Collaborate with hardware teams to evaluate robot power supply systems and real-time control loops
· Analyze system performance using digital twin or simulation environments (e.g., Gazebo, PyBullet, ROS)
· Create software interfaces and integrate safety protocols into robotic operating frameworks
· Perform risk assessment and root-cause failure analysis on autonomous behaviors
· Document system design, test results, and collaborate on technical publications or patents