Senior Performance Verification Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Technology, AIIndustries

Requirements

BS or MS in EE/ECE or equivalent experience (PhD is a plus)
3+ years of experience in CPU performance modeling, performance correlation, performance analysis, or relevant experiences
Strong understanding in CPU micro architecture and designs
Experience with workload analysis and characterization
Strong coding skills in scripting languages like Perl, Python, or C++
Good communication skills and ability & desire to work as a team player

Responsibilities

Technical leadership role to define/plan/implement/execute performance verification strategy of sophisticated CPU designs
Delve into lowest level details of CPU unit design specification, implementation and its performance impact
Interactions with architect and design engineers to define detailed scope of micro architectural features
Draft detailed performance testplans and define/Create scalable micros to validate features
Analysis and correlation of CPU benchmarks/workloads
Build infra/tooling needed for efficient performance correlation debug
Lead and provide detailed technical guidance to junior engineers
Agility to work on multiple tasks/projects

Skills

Key technologies and capabilities for this role

CPU microarchitectureperformance modelingperformance correlationperformance analysisworkload analysisbenchmark analysisPerlPythonC++microbenchmarksverification infrastructure

Questions & Answers

Common questions about this position

What is the salary range for this Senior Performance Verification Engineer position?

The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits in addition to base salary.

What are the required skills and qualifications for this position?

Candidates need a BS or MS in EE/ECE or equivalent, 3+ years in CPU performance modeling/analysis, strong understanding of CPU microarchitecture, experience with workload analysis, and strong coding skills in Perl, Python, or C++. Good communication and teamwork skills are also required.

What experience will help me stand out as a candidate?

Experience leading performance validation of major blocks of CPU pipeline and background with ARM A64 or X86 architectures will help you stand out.

What is the work environment like at NVIDIA for this team?

This is a dynamic, technology-focused company with a global team of outstanding people pushing the frontiers of computing, impacting areas from consumer graphics to AI and self-driving cars. NVIDIA fosters a diverse work environment as an equal opportunity employer.

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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