Job Details
About the Company: A high-tech group specializing in high-end equipment & instruments. It is recruiting overseas high-level talent across BIPV R&D Engineer, Building Energy Intelligence R&D Engineer and related areas.
Target Candidates: Overseas PhDs or senior algorithm experts in AI, large language models, multimodal algorithms, and machine learning engineering
Responsibilities
• Provide design support for BIPV systems, such as opaque photovoltaic curtain-wall systems and the electrical and structural components of rooftop systems, while supporting BIPV product promotion and sales activities.
• Organize departments to conduct detailed R&D design of BIPV products based on product requirements, including structural design, electrical design, material selection, process design, solution verification, third-party testing, and IP filing.
• Responsible for requirement analysis, planning, design, and optimization of BIPV products, and formulating product development strategy and plans.
• Responsible for design support of BIPV systems such as photovoltaic curtain-wall systems (opaque) or the electrical and structural parts of rooftop systems, and supporting the company's BIPV product promotion and sales activities.
Requirements
• Degree in Building Energy, HVAC, or a related field.
• Experience in integrated energy management, energy-saving retrofits, energy storage, building-management platforms, or AI-based energy-saving control is preferred.
• Familiar with photovoltaic building materials and BIPV-related knowledge.
• Candidates with structural and electrical design capabilities for photovoltaic building materials are preferred.
• 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 2 positions with compensation of RMB 500K–1M and below 500K/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.