Pre-Silicon Performance Validation Engineer 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

SemiconductorsIndustries

Requirements

B.Sc. in Electrical Engineering, Computer Engineering, or equivalent
3+ years of experience in ASIC development/validation
Strong background in ASIC debug, including reading RTL, analyzing waveforms, and root-causing functional or performance issues
Hands-on experience with performance validation and analysis at the system level (die-level or multi-die systems)
Proficiency with Python and C/C++ in a Linux environment
Excellent interpersonal skills and ability to work optimally as part of a multi-functional team

Responsibilities

Learn and analyze system-level operation of NVIDIA DPUs
Debug and root-cause performance issues in pre-silicon environments, across RTL, waveform traces, and multi-die system simulations
Collaborate closely with design, verification, architecture, and performance modeling teams to isolate and fix issues
Develop and improve validation methodologies for performance experiments and data collection
Automate repetitive debug and validation tasks to scale coverage and efficiency

Skills

Key technologies and capabilities for this role

PythonC/C++LinuxRTLASIC DebugWaveform AnalysisPerformance ValidationSimulationEmulationMulti-die Systems

Questions & Answers

Common questions about this position

What education and experience are required for this Pre-Silicon Performance Validation Engineer role?

A B.Sc. in Electrical Engineering, Computer Engineering, or equivalent is required, along with 3+ years of experience in ASIC development/validation, strong ASIC debug skills including RTL and waveform analysis, hands-on system-level performance validation, and proficiency with Python and C/C++ in Linux.

What are the key responsibilities for this position?

Responsibilities include learning and analyzing NVIDIA DPU system-level operation, debugging performance issues in pre-silicon environments, collaborating with design and verification teams, developing validation methodologies, and automating debug tasks.

Is this a remote position, or does it require working in an office?

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 Pre-Silicon Performance Validation Engineer position?

Candidates stand out with expertise in performance modeling, traffic generation, or architecture studies; experience with modern interconnects like PCIe, Ethernet, CHI; familiarity with emulation platforms such as Palladium, Veloce, or FPGA prototyping; and passion for experimental work, data-driven validation, and creative problem solving.

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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