We are looking for a hardworking and engaged Senior QA SW Engineer with experience in Networking to join the System Ethernet QA Team! Our QA team is responsible to test and qualify the NVIDIA Ethernet Switches solutions. We learn new features, design, execute, write automation based on Python! 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!
What you'll be doing:
Review the Arch design and requirements for new features introduced in the product.
Design, develop, and execute tests for the new features, as part of SW GA releases and update releases.
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.
Execute system tests in different scopes: regression, performance, functional, security for Ethernet protocols.
Write automation tests and framework APIs based on the Python language.
What we need to see:
Practical / BA in Computer Science /Engineer or Electrical Engineer
At least 5+ years of hands-on experience in QA / Networking
Proven networking knowledge and hands-on experience (switching & routing)
Confident understanding of the following: Routing protocol: BGP/EVPN, VXLAN/OSPF. Multicast features: PIM/IGMP. QoS features: PFC/ECN/RoCE and more
Automation / Scripting skills and experience in Python and Linux Bash
Ability to handle several tasks in parallel. Optimally prioritize and responsibly execute them
Clear verbal and written communication, proficient written and spoken English
Ways to stand out from the crowd:
CCNP/CCIE certification or similar
Experienced in Python automation and source control tools like Git/SVN
Good Linux and Linux kernel knowledge. LPIC-2 Linux administration level
Experience with various compute and virtualization environments: Linux KVM, VMware, ESXi
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, 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.”
