Senior QA Software Engineer, Ethernet Switches — Networking at NVIDIA

Kyiv, Kyiv, Ukraine

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, TechnologyIndustries

Requirements

Practical/BA or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field
5+ years of hands-on experience in QA and/or Networking
Confirmed networking knowledge and hands-on experience (switching & routing)
Confident understanding of the following protocols: BGP, EVPN, VXLAN, OSPF, Multicast features like PIM/IGMP, QoS features like PFC, ECN, RoCE and more
Automation / Scripting skills and experience in Python and Linux Bash
Ability to handle several tasks in parallel, effectively prioritize and responsibly complete 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 and implement end-to-end tests for new features, including GA and maintenance releases
Report and document bugs, assist in reproducing and debugging issues, verify R&D bug fixes, and raise unresolved issues
Perform various system tests (regression, performance, functional, security, etc.)
Design, implement, and maintain automated tests and framework APIs in Python

Skills

Key technologies and capabilities for this role

PythonBashLinuxBGPEVPNVXLANOSPFPIMIGMPPFCECNRoCESwitchingRoutingGit

Questions & Answers

Common questions about this position

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

The role requires 5+ years of hands-on experience in QA and/or Networking.

What key networking protocols must candidates understand?

Candidates need a confident understanding of BGP, EVPN, VXLAN, OSPF, multicast features like PIM/IGMP, and QoS features like PFC, ECN, RoCE.

What automation skills are needed for this position?

Automation and scripting skills in Python and Linux Bash are required.

What is the company culture like at NVIDIA?

NVIDIA has forward-thinking and hardworking people, values proactive individuals open to learning and growth, and is committed to fostering a diverse work environment as an equal opportunity employer.

What certifications or experiences make a candidate stand out?

CCNP/CCIE certification, sophisticated Python automation with Git, in-depth Linux kernel knowledge (LPIC-2 level), and experience with virtualization/containerization like Linux KVM, ESXi, Docker help candidates stand out.

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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