Senior Network Performance Engineer, Networking Insights 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, AI, NetworkingIndustries

Requirements

B.S.c in Engineering/Computer Science or equivalent experience with a strong foundation in hardware-software interaction
5+ years of deep hands-on lab experience focused on hardware validation, testing, and performance-tuning
Strong proficiency in Python for test automation, hardware diagnostics, and data analysis
Familiarity with basic networking concepts (Ethernet, Routing) and large-scale network design
Proven ability to collaborate effectively with multi-functional teams, including hardware, software, and architecture groups
Curiosity and a problem-solving approach, driven to understand how things work at the fundamental level

Responsibilities

Experimental Root Cause Analysis: Design and build targeted experiments from the ground up to replicate complex hardware behaviors observed in AI data centers. Analyze the results to hunt down the root cause of these behaviors, whether in silicon, firmware, or software
Hands-On Lab Investigation: Spend time in the lab, working directly with the most advanced networking ASICs and systems to profile performance and characterize behavior under stress
Test Automation and Development: Write and debug advanced automation scripts (Python) to programmatically control traffic generators (e.g., IXIA) and manipulate the test environment to expose corner-case issues
Lab Environment Management: Maintain and support the lab environment, including equipment setup and racking, procurement, inventory, and coordinating maintenance and upgrades to support ongoing investigations

Skills

Python

Network Performance

Root Cause Analysis

Hardware Validation

Test Automation

IXIA

Ethernet

Routing

Networking ASICs

Lab Management

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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