AI Software Engineering Graduate Intern (AI)

TL;DR

AI Software Engineering Graduate Intern (AI Engineering): Developing and optimizing AI workload solutions and software frameworks with an accent on reproducing real-world inference workloads and identifying system bottlenecks. Focus on conducting performance analysis across hardware and software stacks to support the design of next-generation AI SoC products.

Location: On-site presence required in Beijing or Shanghai, PRC

Company

hirify.global's Data Center Group (DCG) delivers Xeon-based and custom x86 products, focusing on general-purpose compute, HPC, and AI-accelerated systems.

What you will do

• Collaborate on profiling and optimizing AI algorithms, frameworks, and software architectures for improved performance and accuracy.
• Reproduce real-world production AI inference workloads and build representative workload profiles.
• Identify system bottlenecks and conduct detailed performance analysis across the software and hardware stacks.
• Translate workload insights into actionable data to support hardware/software co-design efforts for AI SoC products.
• Assist in applied research and HW/SW integration for AI systems.

Requirements

• Enrollment in a Bachelor's or Master's degree program in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
• Proficiency in Python programming.
• Strong understanding of AI fundamentals, including algorithms, models, and agentic AI workload development.
• Practical experience with AI frameworks such as PyTorch and/or TensorFlow.
• Familiarity with computer architecture concepts, performance analysis, and profiling.
• Must be able to work on-site in Beijing or Shanghai, PRC

Nice to have

• Strong analytical and problem-solving skills.
• Ability to work effectively in collaborative, cross-functional team environments.
• Interest in AI systems research and real-world AI applications across diverse domains.