全职 AI Software Engineer 工作, 薪水, Efinix, Inc. Pulau Pinang 公司招聘中 - Ricebowl

Key Responsibilities

• Design, develop, train, and evaluate machine learning and deep learning models, including CNNs, Transformers, Diffusion Models, and other Generative AI architectures.
• Research, prototype, and implement state-of-the-art AI algorithms, architectures, and training methodologies.
• Conduct experiments, benchmark performance, and optimize models for accuracy, efficiency, scalability, and deployment requirements.
• Develop AI training, validation, testing, and inference pipelines.
• Deploy and optimize AI solutions for embedded and edge computing environments.
• Develop embedded software components to support AI inference and system integration on FPGA-based platforms.
• Analyse and optimize end-to-end AI system performance, considering latency, throughput, memory utilization, and power efficiency.
• Collaborate with cross-functional engineering teams to integrate AI technologies into products and applications.
• Stay up to date with advancements in Artificial Intelligence, Generative AI, Embedded AI, and Edge Computing technologies.

Qualifications

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Electrical Engineering, Computer Engineering, or a related field.
• Strong understanding of machine learning, deep learning, and neural network architectures.
• Experience developing AI and deep learning models using PyTorch and/or TensorFlow.
• Strong programming skills in Python.
• Experience with C/C++ development.
• Knowledge of model optimization techniques, including quantization, pruning, and model compression.
• Experience designing and optimizing CNN architectures.
• Experience with Generative AI models, including Transformers, Large Language Models (LLMs), Variational Autoencoders (VAEs), or Diffusion Models.
• Familiarity with embedded software development and embedded Linux environments is an advantage.
• Knowledge of FPGA-based AI deployment and acceleration techniques is an advantage.
• Experience with FPGA development platforms or toolchains is an advantage.
• Strong analytical, problem-solving, and debugging skills.
• Ability to work effectively in a collaborative engineering environment.