About the role

Aplyr's Quick Take

This role is for a Software Development Engineer in Test (SDET) at NVIDIA, focusing on creating and executing automated tests to ensure software quality. You'll be involved in test planning, execution, and reporting, as well as collaborating with various teams to identify and resolve issues. It's primarily an individual contributor role with a strong emphasis on technical skills in automation and testing.

Good fit

Ideal candidates have at least 3 years of QA experience and a background in computer science or engineering. You should be comfortable with Unix/Linux and scripting in Python, and have a keen eye for detail and problem-solving skills.

Worth noting

The role emphasizes working with cutting-edge AI technologies, which could be a unique opportunity for those interested in the intersection of software testing and AI. The job may involve collaboration across different countries, which could appeal to those who enjoy diverse work environments.

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

Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
Synthesized from recent postings & public sources

What's promising

•NVIDIA leads the GPU market, crucial for gaming and AI applications.
•The company invests heavily in AI and deep learning, driving technological advancements.
•NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

•High competition in the semiconductor industry can impact market share.
•Rapid technological changes require constant adaptation and learning.
•Intense workload and high expectations may affect work-life balance.

Why NVIDIA

•NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
•The company's AI research is at the forefront of deep learning innovation.
•NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

About NVIDIA

NVIDIA

nvidia.com

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NVDA$200.09+2.63%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.