Job Details
About the Company: A high-tech company specializing in robotics. It is recruiting overseas high-level talent across Full-Stack Robotics Engineer, Full-Stack Software Engineer and related areas.
Target Candidates: Overseas PhDs or senior algorithm experts in AI, large language models, multimodal algorithms, and machine learning engineering
Responsibilities
• Build and implement the testing system for robotic products—including complete robots, modules, and key subsystems such as motors, joints, sensors, batteries, and control/perception systems—and lead test-strategy, test-plan, and test-process design to ensure stable product releases.
• Lead the R&D and real-robot deployment of full-body VLA (Vision-Language-Action) models, drive their commercialization on manipulation robots, and enhance robots' multimodal perception and high-precision manipulation capabilities.
• Responsible for building and implementing the testing system for robotic products - whole machines, modules, and key subsystems (motors, joints, sensors, batteries, control and perception systems, etc.) - leading test strategy, test plan, and test process design to ensure stable delivery of product releases.
• Lead the reproduction, localization, and verification loop for test issues, identify software-hardware interaction problems.
Requirements
• Familiar with the field of robot perception and control, with R&D experience in modules such as vision, motion, and navigation.
• Must have experience with at least one complete wire-harness design project, including coursework, internships, or personal projects, and be familiar with the full wire-harness development process.
• PhD-level training or equivalent senior technical expertise in a relevant field.
• Relevant expertise in AI, large language models, multimodal algorithms, and machine learning engineering.
Highlights & Support: This recruitment covers approximately 24 positions with compensation of RMB 800K+, above 1M, and 500K–1M/year. Specific position level, compensation, and support terms can be further negotiated based on the candidate's academic background, project experience, commercialization achievements, and interview results.