Senior QA Software Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, NetworkingIndustries

Requirements

Practical / BA in Computer Science / Engineer or Electrical Engineer with 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

Responsibilities

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

Skills

Key technologies and capabilities for this role

PythonLinuxBashBGPEVPNVXLANOSPFPIMIGMPPFCECNRoCEGitSVNKVMVMwareESXi

Questions & Answers

Common questions about this position

What experience is required for the Senior QA Software Engineer role?

Candidates need at least 5+ years of hands-on experience in QA/Networking, proven networking knowledge in switching and routing, confident understanding of protocols like BGP/EVPN, VXLAN/OSPF, PIM/IGMP, and QoS features like PFC/ECN/RoCE, plus automation/scripting skills in Python and Linux Bash.

What does the role involve day-to-day?

The role includes reviewing architecture and requirements, designing/developing/executing tests for new features, reporting bugs and verifying fixes, executing system tests for regression/performance/functional/security on Ethernet protocols, and writing Python-based automation tests and framework APIs.

What is the salary for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Stand out with CCNP/CCIE certification, experience in Python automation and source control like Git/SVN, good Linux/kernel knowledge at LPIC-2 level, and experience with compute/virtualization environments like Linux KVM, VMware, ESXi.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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