Job Details
Job Description:
- Strong background in machine learning, including the large language model and stable diffusion
- Proficiency in Python and Linux script programming
- Knowledge of CPU/GPU architecture
- Good on-hands skill to set up hardware/system/software to run the AI workloads
Qualifications
You will work at the Intel AI software customer engineering team to deliver the AI solutions with Intel AI accelerator. The assignment includes bug not limits to
- Enable the popular models or AI workloads on Intel AI accelerator.
- Write the script with the best configuration to measure the workload performance.
- Solve the system and software problems during the benchmarking
4 days at office per week and 6 months internship at least
Job Type
Student / Intern
Shift
Shift 1 (China)
Primary Location:
PRC, Shanghai
Additional Locations:
Business Group
At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.
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.