NVIDIA is searching for outstanding software engineers to join the Windows DevOps and Test Labs (WDTL) software team. As a WDTL engineer, you will be building the systems, tools and infrastructure required to support and verify the DirectX driver software on our broad family of GPUs. You will support the evolving technologies of our GPU product cycles, including new operating systems, DirectX, HW features and other derivative GPU technologies. You will help NVIDIA deliver high quality graphics drivers and innovative products that continue to make us a world leader in visual computing.
What you’ll be doing:
Building tools and systems to support automated testing and improve the software engineering process
Build and improve driver verification infrastructure to advance the speed and effectiveness of automated testing
Work with various business units launching testing and automation on Windows platforms
Applying DevOps principles to improve our systems and processes
Be part of a distributed team of highly skilled and expert engineers
What we need to see:
B.S. or higher degree in Computer Science/Engineering or related field (or equivalent experience)
As a skilled developer with at least 3+ years proven experience and you will have at least one scripting language: Perl, PHP or Python
You will bring skills in application development with C# or Java
Familiar with databases and SQL
Experience with source control systems
Experience of full stack development for building interfaces for internal tools with PHP or NodeJS or similar
Background with tools development and automated test frameworks a plus
Knowledge of DevOps methodologies a plus
A great teammate; self-motivated and good demeanor
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most resourceful and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
