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About This Role
- The Role and Impact Join Intel as an AI Software Engineering Graduate Intern, where you'll actively contribute to the creation and optimization of AI workload solutions.
- In this role, you will focus on reproducing AI inference workloads, analyzing system performance, identifying bottlenecks, and translating insights to support hardware/software co-design.
- This hands-on opportunity allows you to gain practical experience in shaping the next generation of AI systems while enhancing your technical knowledge and skills.
- Business group Intel's Data Center Group (DCG) drives innovation in data-centric technologies, delivering solutions that power global data centers and enable advanced computing capabilities for enterprise and cloud environments.
- As part of DCG, you will join a collaborative engineering environment dedicated to accelerating AI adoption through cutting-edge hardware and software integration, contributing to Intel's mission of transforming data-driven technologies.
- Key Responsibilities - Collaborate on profiling and optimizing AI algorithms, frameworks, and software architectures for performance and accuracy. - Reproduce real-world production AI inference workloads and develop representative workload profiles. - Conduct performance analysis across software and hardware stacks, identifying system bottlenecks. - Translate workload insights to support hardware/software co-design initiatives for AI systems. - Assist in applied research and integration of hardware/software solutions for advanced AI systems.
Requirements
- Enrollment in a Bachelor's degree program in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field with 0-1 years of hands-on experience in the domain, showcasing skills gained through internships, academic projects, coursework, or hands-on training, OR a Master's degree in a relevant field with no prior professional experience. - Proficiency in Python programming for experimentation and development. - Fundamental knowledge of AI algorithms, models, and workload development. - Familiarity with AI frameworks such as PyTorch or TensorFlow. - Basic understanding of computer architecture concepts, performance analysis, and profiling techniques.
- Preferred Qualifications - Strong analytical and problem-solving skills. - Ability to operate effectively in a collaborative, cross-functional engineering environment. - Interest in AI systems research and real-world AI applications across diverse domains.
- Bring your creativity, passion, and unique perspective to Intel, and be part of shaping the future of AI technologies.
- Apply today and take the next step in your journey toward innovation.
Sourced directly from Intel’s career page
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Specialisation
Open roles at Intel
666 positions
Job ID
/job/PRC-Shanghai/AI-Software-Engineering-Graduate-Intern_JR0287917
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