Automotive R&D institute running certification, testing, and standards programs
CATARC is a Chinese state-owned research institute focused on automotive standards, testing, and certification. The tech stack reflects dual engineering and data-science operations: CAD tools (UG NX, CATIA, SolidWorks, AutoCAD), security/compliance scanners (Burp Suite, Nessus, IDA, Apktool), ML frameworks (TensorFlow, PyTorch, scikit-learn), and analytical chemistry equipment (GC-MS, HPLC-MS/MS). The hiring composition is engineering-heavy (28 roles) with material security (8) and research (9) groups, signaling active work on ISO 21434 compliance and automotive cybersecurity certification—a regulatory pain point across the department.
CATARC was founded in 1985 as a centralized technical research organization for China's automotive industry under SASAC. The institute operates across standards development, policy research, vehicle testing, cybersecurity certification, and consulting services. Active projects span automotive software quality certification, intelligent driving validation, new-energy-vehicle testing protocols, and consumer-facing product platforms. The organization maintains substantial technical infrastructure: 5 km² of facilities, RMB 7.14 billion in total assets, and a research team structured around chief experts and subject leaders. Primary customers are OEMs, government agencies, and suppliers requiring certification and compliance validation.
CATARC is a state-owned research institute established in 1985 providing automotive standards development, certification testing, policy research, and consulting services. It acts as the centralized technical organization supporting China's automotive industry and government departments.
CATARC operates vehicle certification testing, intelligent driving validation, new-energy-vehicle durability testing for electric and hybrid systems, cybersecurity certification aligned to ISO 21434, and software quality management certification schemes.
CATARC uses CAD tools (UG NX, CATIA, SolidWorks), security scanners (Burp Suite, Nessus, IDA), machine-learning frameworks (TensorFlow, PyTorch, scikit-learn), and analytical chemistry equipment (GC-MS, HPLC-MS/MS) for testing and research operations spanning 28 active engineering roles.
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