Flex Research Engineering Graduate Interns

1 Year ago • All levels

Job Summary

Job Description

The qualified candidate will join the Intel Flex team as a software engineering intern. The intern will participate in various projects related to product development or research. The work will primarily focus on system-level software areas, including OS kernel, BIOS/Firmware development, network/graphics or other I/O driver development, imaging/media development, and AI. It spans cutting-edge domains such as emergent AI, advanced RISC-V architecture, IoT (Internet of Things), and Intel NPU/GPU products. The role involves working in a fast-paced environment, requiring proficient programming, debugging, and troubleshooting skills in system-level software development, particularly with C/C++ or Python. Familiarity with AI algorithms and experience with PyTorch or LLM are beneficial, as is knowledge of CNN, Transformer, ViT, and Diffusion. Knowledge of SQL, NoSQL database is also considered as a plus. Strong self-learning capability and communication skills are also needed.
Must have:
  • Postgraduate in Computer Science/Engineering or Electrical Engineering.
  • Proficient in C/C++ or Python.
  • Comfortable working in a fast-paced environment.
Good to have:
  • Strong at AI algorithms.
  • Experience in PyTorch or LLM.
  • Familiar with CNN, Transformer, ViT, Diffusion.
  • Familiar with SQL, NoSQL database.
  • Fluent spoken and written English.

Job Details

Job Details:

Job Description: 

The qualified candidate will join Intel Flex team as a software engineering intern. The intern of this position will have opportunities to participate into various projects as part of product development or research. The work will mainly focus on system level software areas such as OS kernel, BIOS/Firmware development, network/graphics or other I/O driver development, imaging/media development, AI, etc. It crosses multiple cutting-edge domains such as emergent AI, advanced RISC-V architecture, IOT(Internet Of Things), Intel NPU/GPU products and etc.

Qualifications:

Educational background and working experience: -Postgraduate students in Computer Science, Computer Engineering or Electrical Engineering. -Must be comfortable with working in a fast-paced environment. Technical skills: -Proficient programming and/or debug and/or troubleshooting skills in system level software development. -Proficient in C/C++ or Python. Any following skills would be plus. -Strong at AI algorithm. -Experience in PyTorch or LLM. -Familiar with CNN, Transformer, ViT, Diffusion. -Familiar with SQL, NoSQL database. Soft skills: -Strong self-learning capability in different technical areas. -Fluent spoken and written English would be an added advantage. -Communication skills with internal or external partners, customers and vendors would be an added advantage

          

Job Type:

Student / Intern

Shift:

Shift 1 (China)

Primary Location: 

PRC, Beijing

Additional Locations:

PRC, Shanghai

Business group:

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

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.

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