🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
NVIDIA • Ho Chi Minh City, Vietnam
Role & seniority: Software QA Development Engineer (3+ years QA experience; mid-to-senior level)
Stack/tools: Unix/Linux; shell and Python; API/UI test automation; test planning, design, and reporting; test frameworks; in-house repro tooling; AI development tools; LLM benchmarking
Review requirements, develop test matrices, build test plans, design test cases, execute tests, and report progress/bugs
Automate test cases, contribute to architecture and implementation of test frameworks, and improve test coverage
Manage bug lifecycle, coordinate across groups, perform in-house reproduction of customer issues, and verify fixes
BS or higher in CS/EE/CE (or equivalent) with 3+ years QA experience
Proficient in Unix/Linux, shell, and Python
Experience in test development and automation for API/UI, plus failure analysis
Knowledge of AI development tools, test case creation/automation, and achieving code/test coverage
Model testing and LLM benchmarking experience; strong QA mindset (detail-oriented, analytical)
Excellent written/spoken English; good teamwork and ability to work independently; fast learner
Experience with NVIDIA GPU hardware
Background in deep learning frameworks
Parallel programming, CUDA/OpenCL
Location & work type: Not specified in the description; no stated location or work-type (on-site/remote).
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 Software QA Development Engineer; you will collaborate with multi-functional groups. SWQA 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 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 3+ 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. Solid experience with AI development tools, including creating test cases, automating test cases, and ensuring comprehensive code coverage, among other related tasks 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 NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.