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Compal Linkedin · Posted 18d ago

車電V&V engineer(內湖) - TWPR01276

Taipei

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Indexed description

Key Responsibilities

  • Implement V&V process to measure and analyze AI inference performance: accuracy, false positive, false negative, precision, recall, .. etc. Find out and identifying bottlenecks in the AI modules.
  • Compliance with test specifications to implement integration test and system test for AI module
  • Validate AI inference engine performance and stability across different embedded runtimes (e.g., TensorRT, SNPE, ONNX Runtime).
  • Utilize Linux profiling tools and vendor-specific monitors to analyze CPU, GPU, and NPU load during sustained inference tasks.
  • Perform stress and reliability testing on inference modules to detect memory leaks, OOM (Out of Memory) issues.
  • Develop automated performance benchmarking scripts to ensure consistent validation across different software versions and hardware revisions.
  • Collaborate with hardware and software development teams to identify and resolve system-level bottlenecks and hardware-software integration issues.
  • Ensure alignment with automotive standards such as: ASPICE (Automotive SPICE), ISO 26262 (Functional Safety), ISO 21448 (SOTIF), OEM-specific requirements (Toyota, Honda, VW, GM, etc.)
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