Senior QA Software Engineer, Networking 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, Networking, TelecommunicationsIndustries

Requirements

B.Sc. in Computer Science, Software Engineering, or equivalent
5+ years of practical experience working with telecommunication network protocols
Strong networking and system-level testing background
Solid programming skills (preferably in Python, C, or C++)
Excellent analytical, troubleshooting, and problem-solving skills
High proficiency in English (spoken and written)
Self-motivated, proactive, and able to work independently while contributing to team goals

Responsibilities

Collaborating on projects involving ITU-T standards like G.8273.2 Class-C/D Boundary Clocks
Applying deep knowledge of communication network standards to validate and improve product quality
Testing and verifying clock synchronization protocols, including Synchronous Ethernet (SyncE) and Precision Time Protocol (PTP)
Defining and implementing test topologies and setups to ensure comprehensive product coverage
Participating in requirements, build, and feature reviews, providing QA insights and feedback
Engaging with customers, presenting solutions, assisting in debugging on customer environments, and supporting integration efforts
Staying up-to-date with emerging networking standards, features, and technologies to continually expand QA coverage
Implementing and composing manual and automated firmware and system-level tests in a Linux environment

Skills

Python

C++

Linux

PTP

SyncE

ITU-T G.8273.2

telecommunication protocols

networking

system-level testing

clock synchronization

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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