Edge ML Software Engineer: Model Optimization- PICO- San Jose

关于这个机会

As a world-renowned VR/AR brand with independent innovation and R&D capabilities, PICO has been at the forefront of the consumer electronic market. We have teams in Europe, Japan and South Korea. Now we are looking for experts in image pipeline to join us to build our AR/VR imaging team. Responsibilities: - Convert and compile ML models for execution on edge NPUs, and apply quantization mechanisms. - Profile and analyze model performance and power consumption on simulators, emulators, and silicon platforms. - Identify bottlenecks related to compute, memory bandwidth, data movement, and scheduling - Apply hardware-aware optimization strategies, such as quantization, compression and operator fusion, to meet latency, memory and power targets. - Work closely with algorithm, compiler, firmware and hardware teams to debug functional and performance issues.

任职要求

Minimum Qualifications - Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience. - 3+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments. - Strong understanding of deep learning architectures, including CNNs and Transformers. - Knowledge of ML accelerators' architectures, operator fusion, memory hierarchies, and data movements. - Practical experience with popular ML frameworks, like PyTorch / TensorFlow. - Proficiency in Python and C/C++ Preferred Qualifications - 5+ years of industry experience in machine learning software engineering, model deployment, or ML systems for production environments. - Understanding of model inference constraints on edge devices, including latency, power, and accuracy trade-offs and optimization techniques. - Understanding of quantization techniques, such as PTQ and QAT.

内推申请说明

本站为独立内推协助平台。申请会交由管理员核实岗位与内推渠道，不等于已在公司官网投递；薪资、岗位状态和实际招聘流程以官方信息为准。