英伟达上海正在招聘QA（软件测试）工程师

NVHR

Hi，all，

好久没有更新了，放一波目前正在招聘的职位，目前NV正在热招软件测试，主要分为三个方向游戏，CUDA以及Deep Learning，工作职责大体分为三类：手动测试，测试分析以及测试开发。对于编程语言要求逐个递增。游戏的话主要以windows，端游为主，其他的所以测试职位都是Linux+Python+C OR C++。

以下为相关的职位JD，有兴趣的人可以了解一下。

Senior Game Testing Quality Assurance Engineer

We are looking for a Software Quality Assurance Engineer to join our GeForce Experience Quality Assurance team. From optimizing in-game settings, downloading the latest GPU drivers to broadcasting and recording in-game content, GeForce Experience has become an all-in-one piece of software for improving the gaming experience.

What you’ll be doing:

•        Executing release test plans for existing GFE features

•        Creating and executing new feature test plans

•        Ensuring new and existing top game titles function correctly with GFE features

•        Conferring with automation and development engineers to update processes and test plans

•        Driving quality improvements through bugs, processes, and test plans

What we need to see:

•        A degree from a leading university in a field relevant to computer games (engineering, computer science)

•        4+ years of SQA or testing background with strong analysis skills

•        Knowledge of new and popular game titles (Do you consider yourself a gamer?)

•        Excellent communicator, both written and verbal in English

•        Experience leading other QA engineers: developing test plans for others, assuring high quality across a group

•        Working knowledge of and gaming experience on Windows 7, 8 and 10

Ways to stand out from the crowd:

•        Experience working with remote teams

•        Understanding of PC games visual technologies and modern GPU architecture

•        Scripting language (Python, Perl) knowledge; C/C++/JS skills a plus

•        Familiarity working with NVIDIA GPU hardware a strong plus

•        Extensive knowledge of, and testing experience with, Windows 7, 8 and 10

Test Engineer:

What you’ll be doing:

•        Candidate will create, tune, run and analyze graphics and systems benchmarks on PCs, workstations and laptops. Tasks may include some scripting to automate current test processes and benchmarks for improved efficiency.

•        Candidate must have ample knowledge of computer components and application level benchmarks that demonstrate performance for a specific workload.

•        Candidate may also need to configure computer systems with appropriate hardware and software to run benchmarks on various systems. They would run benchmarks on these systems.

•        Candidate would analyze results from benchmark runs and create reports to position NVIDIA products appropriately using their evaluation.

What we need to see:

•        BS in Computer Science or similar computer discipline and at least 4 years of experience developing software or testing computers.

•        Minimum of 1 years’ experience doing performance analysis.

•        Working knowledge of all Windows operating systems

•        Knowledge of C, C++, Perl, OpenGL, Direct X and D3D.

Ways to stand out from the crowd:

•        Familiarity with Linux is a plus.

Compute Software Quality Assurance Engineer (Release testing)

What you’ll be doing:

•        Responsible for NVIDIA GPU compute release testing.

•        Assisting in the architecture, designing, implementing of SWQA test frameworks.

•        Candidate will have a significant role in working with Software engineering, marketing, and internal support groups as well as our partners.

What we need to see:

•        BS or higher degree in CS/EE/CE or equivalent

•        5+ years of SQA or testing background; test infrastructure and strong analysis skills

•        Scripting language (Python, Perl, bash) knowledge

•        UNIX/Linux experience required.

•        Excellent communicator, both written and verbal

Ways to stand out from the crowd:

•        Familiar with HPC and multi-node/cluster testing is a plus

•        Familiarity working with NVIDIA GPU hardware a strong plus

•        C/C++ skills a plus

Deep Learning Software Quality Assurance Engineer:

What you’ll be doing:

•        Responsible for NVIDIA Deep Learning Software (Driver, SDK, Frameworks) testing;

•        GPU testing for Deep Learning products to ensure functionality, compatibility and performance;

•        Triage, isolate failures and work with development team to verify fixes and do root cause analysis;

What we need to see:

•        BS or higher degree in CS/EE/CE or equivalent;

•        5+ years of SQA or testing background; test infrastructure and strong analysis skills;

•        Scripting language (Python, Perl, bash) knowledge and UNIX/Linux experience is required;

•        Good C and develop experience is a plus;

•        Excellent communicator, both written and verbal;

Ways to stand out from the crowd:

•        Familiarity working with NVIDIA GPU hardware is a strong plus;

•        Familiarity any Deep Learning framework is a strong plus;

•        Familiarity working with NVIDIA GPU Computing (CUDA) is a strong plus

Senior CUDA Automation Test Development Engineer

What you’ll be doing:

•        Automate CUDA tests

•        Make CUDA tests adopt CUDA automation infrastructure

What we need to see:

•        Strong programming and debugging skills in C/C++, Python and Makefile

•        Have been in QA organization and have a good understanding of QA process

•        A minimum of 5 years' experience in software test automation including designing test frameworks

•        A strong team player, self-motivated and good attitude

•        A strong desire to learn, grow and create

•        Excellent English communication and collaboration skills

•        MS or PhD degree from a leading university in computer science or related

Ways to stand out from the crowd:

•        Expertise in compiling, ideally gcc, clang and msvc

•        Expertise in parallel programming, ideally CUDA C/C++

Senior CUDA Automation Triage QA Engineer

What you’ll be doing:

•        Triage the test failures from the nightly and weekly automation test.

•        GPU testing for CUDA and Machine learning products to ensure functionality, compatibility and performance.

•        Root cause the failure and assist develop to fix it.

What we need to see:

•        Strong Linux/Windows/Android OS knowledge and testing experience are required.

•        Strong trouble shooting, analytical skill, logical thinking and inferences capability are must.

•        Strong python scripting is a must, Perl/shell is a plus.

•        Good C and develop experience under Linux is a plus.

Ways to stand out from the crowd:

•        MS in computer science is preferred.

•        Excellent English communication and collaboration skills.

•        3+ years of QA experience

Thanks

Carra

carraz@nvidia.com

可关注我的LinkeIn，LinkedIn搜索：Carra Zhou