Total 1 Director/C-Level computer security job vacancies in D26 Springleaf, Upper Thomson

1. Technology Strategy & Roadmap

• Define and drive the mid- to long-term technology roadmap for computer vision and AI, aligned with semiconductor equipment product lines (inspection, metrology, lithography, packaging, etc.).
• Track industry standards (e.g., SEMI), advanced process nodes (e.g., 3nm/5nm), and emerging CV/AI technologies (few-shot learning, anomaly detection, foundation model fine-tuning), and lead technology pre-research initiatives.

2. Algorithm Development & Optimization (Core)

• Lead the development of core computer vision algorithms for semiconductor applications.
• Optimize algorithm performance in terms of speed, accuracy, and robustness, minimizing false positives/negatives in high-resolution, high-noise, and high-throughput production environments.
• Architect and industrialize hybrid solutions combining classical image processing (OpenCV, Halcon) and deep learning models (CNNs, Transformers).

3. Team & Project Management

• Build, lead, and develop a high-performing computer vision team, including talent pipeline development and technical capability building.
• Manage the full project lifecycle: requirement analysis, task decomposition, timeline control, quality assurance, and release management.
• Oversee code reviews, technical documentation (algorithm design, APIs, test reports), and promote knowledge standardization and reuse.

4. Cross-functional Collaboration

• Collaborate with optics, hardware, and electrical teams on system-level design, including camera, lighting, sensor selection, and imaging system calibration.
• Work closely with system software and embedded teams on algorithm integration and deployment optimization (GPU acceleration, CUDA, multi-threading), considering memory and power constraints.
• Interface with manufacturing, quality, and customers for on-site issue resolution, data feedback loops, and algorithm customization.

5. Innovation & Intellectual Property

• Lead key technology breakthroughs and drive the development of patents, software copyrights, and technical publications.
• Establish end-to-end data pipelines covering dataset construction, training, evaluation, and deployment.