We are looking for a hardworking and engaged engineers with experience in Networking to join the System Ethernet NETQ QA Team. Our QA team is responsible to test and qualify the NVIDIA software management solutions. We learn new features, design, implement and write automation tests based on Python.
What you'll be doing:
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Review architecture, design and requirements for new features introduced in the product
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Design, develop, and implement tests for the new features, as part of SW GA releases and update releases
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Report bugs found during execution, assist with reproduction and debugs in order to understand root cause verify bug fixes provided by the R&D team, raise if not fixed
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Implement system tests in different scopes: regression, performance, functional and security.
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Write automation tests and framework APIs based on the Python.
What we need to see:
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5+ years of hands-on experience in QA / Networking
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Confirmed networking knowledge and hands-on experience (switching & routing)
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Confident understanding of the following: Routing protocol: BGP/EVPN, VXLAN/OSPF. Multicast features: PIM/IGMP. QoS features: PFC/ECN/RoCE and more
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Automation / Scripting skills and experience in Python and Linux Bash
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Ability to handle several tasks in parallel. Effectively prioritize and responsibly complete them
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B.S degree or equivalent experience in Engineering/Computer Science/related field
Ways to stand out from the crowd:
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CCNP, CCIE certification
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Experienced in Python automation and source control tools.
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Good Linux and Linux kernel knowledge.
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Experience with various compute and virtualization environments: Linux KVM, VMware, ESXi.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world 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 is 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, veteran status, disability status or any other characteristic protected by law.
Top Skills
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.”
