Job Description:

Job Description

Intel DCG China NEX team develops distributed AI infrastructure and software solutions powered by Intel Xeon and GPU products. Our work focuses on large-scale AI systems and applications, including Large Language Models (LLMs), Robotics, Vision AI, Physical AI, and next-generation intelligent systems. We are seeking highly motivated graduates to join our team and help build innovative AI software platforms and infrastructure.

Responsibilities

• Design, develop, and optimize software for AI applications and infrastructure.

• Build scalable and efficient systems for AI training, inference, and model serving.

• Develop distributed software components for compute, communication, storage, scheduling, and resource management.

• Research and implement innovative technologies to improve the performance, scalability, reliability, and efficiency of AI systems.

• Analyze and optimize system bottlenecks across hardware and software stacks.

• Collaborate with engineers and researchers across Intel to evaluate emerging technologies and develop next-generation AI solutions.

• Contribute to software architecture, prototyping, benchmarking, performance analysis, and product development for AI platforms.

• Stay current with advancements in AI, machine learning, distributed systems, and software engineering technologies.

Qualifications:

Qualifications

• Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Electronic Engineering, Robotics, Mathematics, or a related technical field.

• Strong programming skills in Python, C/C++, Rust, or similar programming languages.

• Solid understanding of data structures, algorithms, operating systems, computer architecture, and software engineering fundamentals.

• Basic knowledge of machine learning, deep learning, and AI system concepts.

• Experience through coursework, research projects, internships, open-source contributions, or personal projects in software development, AI, or distributed systems.

• Strong analytical and problem-solving skills, with the ability to learn and apply new technologies quickly.

• Good verbal and written English communication skills.

• Strong collaboration and teamwork skills, with the ability to work effectively in a global and cross-functional environment.

• Self-motivated, results-oriented, and passionate about technology innovation and AI system development.

Preferred Qualifications

Experience or project background in one or more of the following areas:

• AI model training and inference optimization, including LLMs, multimodal models, vision AI, robotics, or physical AI.

• Distributed AI systems and infrastructure, such as model serving, distributed computing, scheduling, networking, storage, and resource management.

• Reinforcement learning, AI agents, robotics, or intelligent decision-making systems.

• AI frameworks and tools such as PyTorch, TensorFlow, JAX, vLLM, SGLang, or related technologies.

What We Offer

• Opportunities to work on cutting-edge AI technologies and large-scale AI infrastructure.

• Collaboration with experienced engineers and researchers across Intel's global teams.

• Exposure to state-of-the-art AI systems, distributed computing, and performance optimization technologies.

• A dynamic environment that encourages innovation, continuous learning, and career growth.

• The opportunity to make a direct impact on the future of AI infrastructure and intelligent computing.

Join Intel and help shape the future of AI infrastructure and intelligent systems