Senior QA Software Engineer, Networking

Posted 6 Days Ago
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Yokneam, ISR
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, develop, and execute functional, regression, performance, and security tests for NVIDIA Ethernet switch features. Write Python automation and framework APIs, report and reproduce bugs, collaborate with R&D to debug and verify fixes, and review architecture and requirements for software releases.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or Electrical Engineering
  • At least 5+ years hands-on experience in QA and Networking
  • Proven networking knowledge and hands-on experience with switching and routing
  • Familiarity with routing and overlay protocols: BGP, EVPN, VXLAN, OSPF
  • Knowledge of multicast and QoS features: PIM, IGMP, PFC, ECN, RoCE
  • Automation and scripting experience in Python and Linux Bash
  • Strong Linux knowledge and administration skills
  • Ability to handle multiple tasks in parallel and prioritize effectively
  • Clear verbal and written communication; proficient English
  • CCNP or CCIE certification (or similar)
  • Experience with Python automation and source control tools (Git/SVN)
  • LPIC-2 Linux administration level and Linux kernel familiarity
  • Experience with virtualization environments: Linux KVM, VMware, 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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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