Hardware Performance Modeling Architect at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Networking, AI, HPCIndustries

Requirements

BSc/MSc in Electrical Engineering, Computer Science from a known university
Experience in developing simulation models
2+ years of experience in C++ and Python
Strong debug skills
Excellent verbal and written communication skills
Ways to stand out
Master's degree in Electrical Engineering, Computer Science or related technical field
5+ years of relevant practical experience
Experience with network simulation tools (omnet, ns3, sst, gem5)
Demonstrated ability to innovate and lead new technologies leading to product impact
Experience with NVLink/Ethernet/IB technologies

Responsibilities

Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options for our next generation of switches
Learn and understand the switch ASIC across all performance related aspects
Focus on switch hardware modeling
Analyze and model the communication patterns of key DL, GAI inference and training applications
Explore innovative ideas to improve and optimize our chip systems performance

Skills

Key technologies and capabilities for this role

C++PythonSimulation ModelingHardware ModelingASICMicro-architectureDebuggingNetwork Simulationomnetns3sstgem5NVLinkEthernetInfiniBand

Questions & Answers

Common questions about this position

What education is required for the Hardware Performance Modeling Architect role?

A BSc or MSc in Electrical Engineering or Computer Science from a known university is required.

What programming experience is needed for this position?

At least 2+ years of experience in C++ and Python is required, along with strong debug skills.

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

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this architect role?

Candidates stand out with a Master's degree, 5+ years of relevant experience, network simulation tool experience like omnet or gem5, innovation in technologies, and knowledge of NVLink/Ethernet/IB.

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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