Senior IP 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, TechnologyIndustries

Requirements

BS/MS in Electrical or Computer Engineering (or equivalent experience)
5+ years of proven design verification experience
Expertise in verifying sophisticated IP's with System Verilog
Programming and scripting experience with C and Python
Familiar with using AI enabled IDE's for code development
Excellent written, verbal and technical communication skills
Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems
Experience with verifying High-Level-Design (HLS) designs (a plus)

Responsibilities

Participate and help drive the development of NVIDIA multi-media IP designs with emphasis on first pass success
Collaborate and partner with ASIC design engineers, IP architects and other verification engineers to formalize product features
Verify IP's using System Verilog and UVM
Build testbenches and enhance flows for automation of unit level trace based testing against reference C models
Architect and build verification architecture and associated documents
Develop simulation models
Regression management across HLS, Verilog, and FPGA simulations
Performance testing and analysis
Functional and code coverage tracking and closure
Help the team advance verification techniques and methodology
IP integration testing into full chip environment

Skills

SystemVerilog

UVM

Verilog

FPGA

HLS

testbenches

regression management

functional coverage

code coverage

IP verification

ASIC

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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