AI Framework Engineering

About This Role

• Intel CAIGC (AI and GPU IP Center of Excellence) is dedicated to advancing cutting-edge AI technologies and foundational software ecosystems.
• By collaborating with operating system vendors (OSVs), independent software vendors (ISVs), and developers, the team builds an end-to-end AI software ecosystem that empowers customers to deliver differentiated user experiences.
• The team focuses on two key areas Enabling the AI PC ecosystem through dedicated NPU IP.
• Delivering full-stack GPU IP solutions that span Intel’s integrated and discrete graphics markets, offering seamless delivery from chip IP to system platforms to support the GPU technology roadmap.
• The center’s value lies in reshaping end-user experiences through AI and driving high-performance computing with GPU technologies, reinforcing Intel’s leadership in the AI PC and graphics domains.
• We are currently hiring AI Framework Engineer for the Intel CAIGC team in Shanghai.
• We are looking for individuals who are eager to learn new things, embrace challenges, and demonstrate strong teamwork..
• Responsibilities include but are not limited to: AI Technology Research and Validation: Conduct research on emerging AI technologies (e.g., model quantization, graph structure transformation), and deploy and optimize proof-of-concept (PoC) projects on Intel platforms.
• Large Language Model (LLM) Performance Evaluation and Tool Development: Perform performance testing on the latest LLMs on Intel platforms and develop functional modules for testing tools.
• Performance Analysis and System Optimization: Analyze performance test results, identify software bottlenecks (e.g., operator latency, memory usage), and propose optimization strategies to improve inference speed and resource efficiency。 Qualifications: Minimum Qualifications • Proficiency in programming languages such as Python, C++, or other relevant languages for AI software development. • Experience with AI frameworks such as PyTorch,OpenVINO, Hugging Face Transformers, vLLM, SGlang • Strong knowledge of artificial intelligence fundamentals, distributed systems, and algorithms. • Familiarity with profiling tools and techniques for identifying performance inefficiencies in models. • Demonstrated ability to optimize code for various hardware backends, including CPUs, GPUs. • Experience and intention in developing or leveraging AI based software workflows Preferred Qualifications • Advanced problem-solving skills with the ability to address complex computational and algorithmic challenges. • Strong communication skills for effective collaboration across multidisciplinary teams. • A passion for driving innovation and contributing to transformative AI technologies.