Senior Software QA Test Development Engineer

3 Months ago • 5 Years + • Quality Assurance

Job Summary

Job Description

As a Senior SWQA Test Development Engineer at NVIDIA, you'll collaborate with multi-functional groups to plan, execute, and report on software testing. Responsibilities include developing test matrices, designing test cases, automating tests using scripts and frameworks, managing the bug lifecycle, and collaborating with teams to resolve issues. You will also reproduce and verify customer issues/fixes. The role requires a strong understanding of software QA methodologies, proficiency in Unix/Linux and Python, and experience with API/UI testing and failure analysis. A passion for breaking software to identify potential problems and a dedication to improving test plans is essential. This position significantly impacts the quality of NVIDIA's products.
Must have:
  • 5+ years QA experience
  • Proficient in Unix/Linux and Python
  • API/UI test automation experience
  • Model testing and LLM benchmarking knowledge
  • Excellent communication skills
Good to have:
  • NVIDIA GPU hardware experience
  • Deep learning framework background
  • Parallel programming (CUDA/OpenCL) experience

Job Details

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you.

We are now looking for a Senior Software QA Test Development Engineer, you will collaborate with multi-functional groups. SWQA test developer engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA engineer can improve productivity or optimize test plan. As a SWQA test developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products.

What you’ll be doing:

  • Review product requirements and develop test matrix.

  • Build test plan, design test case, execute and report test progress, bugs, and results to management.

  • Automate test cases and assist in the architecture, crafting and implementing of test frameworks.

  • Manage bug lifecycle and co-work with inter-groups to drive for solutions.

  • In-house repro and verify customer issues/fixes.

What we need to see:

  • BS or higher degree or equivalent experience in CS/EE/CE plus equivalent with 5+ years QA experience.

  • Proficient in Unix/Linux and shell/python programming skills.

  • Rich experience in test cases development, tests automation in API/UI and failure analysis.

  • Good knowledge and hands-on experience in model testing and LLM benchmarking

  • Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.

  • Excellent communicator, fluent written and verbal English.

  • Good teamwork with ability to work independently.

  • Passion to learn new hardcore technology.

Ways to stand out from the crowd:

  • Experience working with NVIDIA GPU hardware is a strong plus

  • Background in deep learning frameworks is a plus

  • Experience in parallel programming ideally CUDA/OpenCL is a plus

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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