Software QA Engineer
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NVIDIA
NewDesign and develop verification infrastructure for the DOCA SDK, managing thousands of nightly tests across hardware platforms with error handling, result analysis, and dashboard reporting. Requires a Bachelor's degree, five or more years as a software engineer, and proficiency in Python, Java, or similar languages. Linux knowledge, Kubernetes networking experience, and expert Python skills are valued.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is looking for a Senior Software Engineer to join the NVIDIA DOCA™ SDK Verification team. The NVIDIA DOCA™ SDK enables developers to rapidly create applications and services on top of NVIDIA® BlueField® data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of NVIDIA's DPUs.
What you will be doing:
As a Senior Software Engineer in the DOCA verification team, you will play a key role in designing and developing the verification infrastructure for the NVIDIA DOCA™ SDK. This infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. It includes mechanisms for error handling and fault recovery, while test results are stored, analyzed using advanced tools, and presented through live dashboards and reports. Your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software.
What we need to see:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
5+ years of experience as a software engineer,
Proficiency in programming languages such as Python, Java, or similar.
Deep understanding of software development methodologies and engineering best practices.
Excellent problem solving skills and the ability to address complex technical challenges.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Proven track record of delivering high quality work on time and meeting project deadlines.
Ways to stand out from the crowd:
Expert level knowledge of the Python programming language.
Experience with Kubernetes networking.
Strong knowledge of the Linux operating system.
We have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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