Senior Network Test Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductor, Networking, AIIndustries

Requirements

B.S. in Engineering/Computer Science or equivalent experience with a strong foundation in hardware-software interaction
5+ years of hands-on experience validating, performance-tuning, or troubleshooting networking hardware and ASICs
A deep understanding of how network protocols are implemented at the hardware level (Switches, NICs)
Demonstrated proficiency in a scripting language (Python strongly preferred) for test development and diagnostics
Experience with network traffic generators (e.g., IXIA, Spirent)
A problem-solving mindset, driven by curiosity to understand how things work at a fundamental level

Responsibilities

Investigate complex performance issues seen in real-world AI data centers
Design and build targeted test cases from scratch to replicate and isolate hardware and software bottlenecks
Write and debug diagnostic scripts (Python) to drive traffic generators (e.g., IXIA) and manipulate test environments
Analyse test data to uncover the root cause of hardware-level behaviours, collaborating with architects to understand micro-architectural impacts
Develop repeatable tests that will become part of our broader automation framework

Skills

Key technologies and capabilities for this role

PythonIXIASpirentASICsSwitchesNICsNetwork ProtocolsTraffic GeneratorsPerformance TuningTroubleshootingHardware DiagnosticsTest Automation

Questions & Answers

Common questions about this position

What is the salary for this Senior Network Test Engineer 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 skills are required for this role?

Required skills include 5+ years of hands-on experience validating, performance-tuning, or troubleshooting networking hardware and ASICs, deep understanding of network protocols at the hardware level (Switches, NICs), proficiency in Python for test development and diagnostics, and experience with network traffic generators like IXIA.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse work environment with forward-thinking and hardworking people, valuing creativity, autonomy, and passion for technology.

What makes a candidate stand out for this position?

Candidates stand out with expertise in stress-testing network switch ASICs and systems, advanced hardware diagnostics beyond standard L2/L3 protocols, familiarity with large-scale data center environments, and CCNP certification or equivalent.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free