THE ROLE:
GPU Architecture Performance Verification
Team develop Tools to help visualize and debug GPU and Machine Intelligence
chip performance issue. We also develop a super integrated benchmark to help evaluate the
performance of GPU and Machine
Intelligence chip with self-developed tools.
THE PERSON:
Need to have good C/C++ or
python programming skill with software engineering concept, with great
passion to learn hardware, with interest in GPU and AI chip architecture. Has
good communication skills and be able to work both independently and in a
team.
The Intern should be able to
work at least 3 days a week and last for at least 6 months
KEY RESPONSIBILITIES:
GPU & AI chip performance
analysis on silicon & simulation & emulation environment
GPU & Machine
Intelligence chip performance analysis tool development
PREFERRED EXPERIENCE:
Excellent English reading
skill to understand the details in technical documents, fluent English
written and oral skills to express your thoughts and communicate with
other team members are required
Have good software debug
experience on Windows or Linux
Experience with low level
programming is highly preferred
ACADEMIC
CREDENTIALS:
2nd year above post graduate
student who is major in Computer Science, Computer Engineering,
Mathematics or Electrical Engineering.
LOCATION:
Shanghai, Pudong, Zhangjiang