We are looking for a hardworking and engaged engineers with experience in Networking to join the System Ethernet QA Team. Our QA team is responsible to test and qualify the NVIDIA Ethernet solutions. We learn new features and design, implement them in product along with writing automation using python framework.
What you'll be doing:
Review architecture, design and requirements for new features introduced in the product
Design, develop, and implement 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
Implement system tests in different scopes: regression, performance, functional and security.
Write automation tests and framework APIs based on the Python.
What we need to see:
5+ years of hands-on experience in QA / Networking
Bachelors degree or equivalent experience
Confirmed 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 complete them
Ways to stand out from the crowd:
CCNP, CCIE certification
Experienced in Python automation and source control tools.
Good Linux and Linux kernel knowledge.
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 encouraging 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.
Skills Required
- 5+ years of hands-on experience in QA and networking
- Bachelor’s degree or equivalent experience
- Hands-on networking experience with switching and routing
- Knowledge of BGP, EVPN, VXLAN, OSPF, PIM, IGMP, PFC, ECN, and RoCE
- Automation and scripting experience using Python and Linux Bash
- Ability to manage multiple tasks, prioritize effectively, and complete work responsibly
- CCNP or CCIE certification
- Python automation and source control tools experience
- Linux and Linux kernel knowledge
- Experience with Linux KVM, VMware, or ESXi
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
