About this role
We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude.
Job Description 1. Data: Define & Design - Define data quality standards and preprocessing workflows to ensure data integrity and consistency. - Build analytical models and expand feature engineering strategies to support precise modeling and inference. 2. Design: Propose - Design efficient AI architectures, implementing model pruning, quantization, and compression techniques for resource-constrained devices. - Develop specialized algorithms to address key technical challenges in specific scenarios. 3. Develop & Deploy: Plan & Define - Establish model development standards and strategies, guiding the team in adopting optimization tools and platforms. - Develop highly scalable algorithms to support multi-platform model execution and deployment. - Evaluate and optimize performance bottlenecks of model deployment on embedded and cloud platforms. - Lead integration of model functionalities with hardware and firmware teams to ensure consistency between deployment and product architecture. - Design testing specifications and verification processes to ensure system stability and delivery quality. - Participate in product requirements and specification reviews, providing technical feasibility recommendations. - Write and maintain technical documentation to support cross-team operations and extended development. 4. Documentation: Patent & Proposal document - Systematically organize AI development processes and methodologies, writing structured technical documents and reports. - Ensure technical outputs are traceable and valuable for knowledge transfer. - Draft innovative proposals and patent documents, transforming technical achievements into company assets. 5. Integration: SW/HW - Coordinate major technical projects across product lines and departments, consolidating software and hardware integration requirements. - Serve as a bridge for technical consensus between departments, promoting standardization and system collaborative development. 6. Advanced Technologies: Research & Integrate - Continuously research, apply, and integrate new AI technologies and industry trends, evaluating their applicability to products. - Guide the team in acquiring new knowledge, building a technical knowledge base, and enhancing overall technical depth. Education
Work Experience
Language
Skills C (Programming Language)、 C++ Programming Language、 CI/CD、 Deep Learning、 Docker (Software)、 Git Version Control System、 Kubernetes、 Machine Learning (ML)、 Machine Learning Operations、 Open Neural Network Exchange (ONNX)、 Python (Programming Language)、 PyTorch、 Tensorflow、 Torch (Machine Learning)