投递邮箱： nahu@nvidia.com
欢迎大家积极投递转发，谢谢！
CUDA QA Engineer（有转正机会）
要求：
-相关专业背景
-熟悉Python/Perl/Shell至少一样， 熟悉Linux，有gcc/gdb/makefile相关经验更好
-尽早入职，实习时间6个月及以上（不看2017届应届生，除非已准备读master），至少3-4天/周
What you’ll be doing:
• Triage test failures from the automation testing.
• GPU testing for CUDA product to ensure functionality, compatibility and performance.
• Root cause the failure and assist develop to fix it.
What we need to see:
• Good Linux/Windows OS knowledge.
• Good trouble shooting, analytical skill, logical thinking and inferences capability
• Good python scripting is a must, perl/shell is a plus.
• Good C and develop experience under Linux is a plus.
• Good testing experience is a plus.
Ways to stand out from the crowd:
• Can be work at least 4 days a week for 6 months
• MS in computer science is preferred.
• Excellent English communication and collaboration skills.
Software QA automation engineer（有转正机会）
要求：
-相关专业背景
-尽早入职，实习时间6个月及以上（不看2017届应届生，除非已准备读master），至少3-4天/周
What you’ll be doing:
• Responsible executing a comprehensive series of automated test cases integrated with a wide range of NVIDIA software products
• Support automation/production/stress Test under associated SQA processes.
• Maintain and optimize new or existing automated tests base on existing automation framework
• Assisting in the designing, implementing of test frameworks.
What we need to see:
• BS or higher degree in CS/EE/CE Undergraduate students
• Self driven with a focus on execution and quality.
• Basic knowledge of Android
• Experience in Java/C++/C# program
• Scripting language (Python, Perl, bash) knowledge
• at least work 4 day per week
Ways to stand out from the crowd:
• Experience in QA or automation system is a plus.
• Strong cross-team collaborator, open communicator
• Experience with version control systems: Perforce, git
• Data management skills |
发表于 2017-4-26 15:25:59