AI Framework Software Intern at Intel in Shanghai, Shanghai, China

AI Framework Software Intern Location: PRC, Shanghai Job Details: Job Description: The Role and Impact: Join Intel as an AI Software Engineering Graduate Intern and contribute to pioneering advancements in artificial intelligence technologies. As part of Intel's dynamic AI and GPU IP Center of Excellence, you will work on cutting-edge projects that deliver transformative user experiences and high-performance computing solutions. Your internship will offer hands-on experience in designing and optimizing AI software solutions, including algorithms, frameworks, and architectures across critical domains such as computer vision, machine learning, and deep learning. This role supports Intel's mission to build end-to-end AI ecosystems, enabling scalable and efficient solutions that empower customers worldwide. Key Responsibilities: - Conduct research and validation on emerging AI technologies, such as model quantization and graph structure transformation, deploying and optimizing proof-of-concept projects on Intel platforms. - Perform performance evaluations on large language models (LLMs) on Intel platforms, developing functional modules for testing tools and ensuring effective benchmarking. - Analyze performance test results to identify software bottlenecks, such as operator latency and memory usage, and propose optimization strategies to enhance inference speed and resource efficiency. - Assist in implementing and tuning AI models for performance and accuracy, ensuring seamless hardware-software integration. - Collaborate with internal product teams and external partners to create scalable AI software solutions that align with Intel's business goals. Qualifications: Minimum Qualifications: - Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related field. - Proficiency in at least one programming language, such as Python or C/C++. - Experience with widely used AI frameworks, including PyTorch and Hugging Face Transformers. - Hands-on experience with large language models and generative AI, with a demonstrated ability to learn and adapt quickly. Preferred Qualifications: - Strong problem-solving abilities and collaborative mindset, with experience analyzing and optimizing software performance. - A proactive approach to learning emerging AI technologies and contributing to innovative research. - Availability to work 4-5 days per week for a minimum internship duration of 3 consecutive months. Seize the opportunity to work alongside talented teams in a vibrant, fast-paced environment that fosters teamwork, innovation, and professional growth. Apply now and help shape the future of AI at Intel. Job Type: Student / Intern Shift: Shift 1 (China) Primary Location: PRC, Shanghai Additional Locations: Business group: Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences. Posting Statement: 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. Position of Trust N/A Work Model for this Role 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.