Senior Design Verification Engineer - Hardware at NVIDIA

Shanghai, China

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, TechnologyIndustries

Requirements

  • BS / MS in electrical / computer engineering or equivalent experience
  • 3+ years (MS) or 5+ years (BS) working experience
  • Familiar with advance verification methodology, tools and flow
  • Fully experienced verification flow, including testplan, test, coverage model, testbench, BFM modeling
  • Deep understanding in Verilog and HVL (High-level Verification Language)
  • Ways to stand out (preferred)
  • Strong programming skills in Perl and C/C++
  • Having good arch/design experience
  • At least good at one of the script programming language: Perl, Shell, Ruby, Python

Responsibilities

  • Participate in the research of verification methodology to improve automation and productivity
  • Read IAS and design specs to understand the design requirement and build corresponding testplan. Review the testplan with arch/design engineers
  • Build block/IP testbench based on UVM methodology
  • Build test run and regression flow
  • Triage failures in regression and help designer root cause the bug
  • Build various metrics (passing rate, functional coverage, etc) and monitor its health
  • Take SOC verification on fullchip test environment for IPs
  • Analyse functional/code coverage result and identify the coverage holes. Work with design engineer to improve the coverage score
  • Deploy the advanced verification methodology and infrastructure of the SOC/IP

Skills

UVM
Verilog
SystemVerilog
HVL
Perl
C/C++
Testbench
Functional Coverage
Code Coverage
SOC Verification
BFM
Testplan

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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