• Senior Software QA Engineer - Deep Learning Jobs in China - 23778141

  • Nvidia Graphics Pvt Ltd
  • China
  • Save Job
  • 5 - 8 Years
  • Posted : above 1 month

Job Description:

We are looking for a Senior Software QA engineer in NVIDIAs Deep Learning SWQA team

The position is in NVIDIA Deep learning software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIAs Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms

You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork You should constantly foster and implement efficiency improvements across your domain

Join the team which is building software which will be used by the entire world!

What youll be doing

As a Software QA Engineer who is engaged in the success of this team and company, you will devote time to process definition and improvement, come up with creative solutions to challenging problems to help us achieve our goals more efficiently
GPU testing for Deep Learning products to ensure functionality, compatibility and performance for various SDK (cuDNN, TensorRT, etc) and Frameworks
Be responsible for Deep Learning Software test development and enhancement (Driver, SDK, and Frameworks)
Work with development teams to triage issues, do root cause analysis, verify fixes, define new tests, improve test plans

What we need to see

BS or higher degree in CS/EE/CE or equivalent
5 years of Software Quality Assurance or Test automation background with knowledge of test infrastructure and strong analysis skills
Scripting language (Python, Perl, bash) knowledge and UNIX/Linux experience
Good C/C development experience
Excellent English written and oral communication skills
Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules

Ways to stand out from the crowd

Familiarity with NVIDIA GPU hardware
Understanding and working knowledge with any Deep Learning Framework
Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning
Experience in VectorCAST, Bullseye, Gcov, or Coverity tools
Automation experience

#deeplearning

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : IT-Hardware/Networking, Telecom
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 07th Apr 2020

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