Intel
PRC, Shanghai
+ 1 other location
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
• 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
College Grad
Shift 1 (China)
PRC, Shanghai
PRC, Beijing
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
N/A
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.