Senior ASIC Verification Engineer - GPU at NVIDIA

Toronto, Ontario, Canada

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

Requirements

  • Bachelors Degree in EE, CS or CE or equivalent experience
  • 5+ years of relevant experience
  • Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies
  • Experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)
  • Expertise in System Verilog or similar HVL
  • Strong debugging and analytical skills
  • Perl and C/C++ programming language experience desirable
  • Prior experience with arbiters, interconnect networks and/or caches is desirable
  • Strong communication skills and ability & desire to work as a great teammate are huge plus
  • Experience in crafting test bench environments for unit and system level verification

Responsibilities

  • Verify the design and implementation of the industry's leading GPUs
  • Verify the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM
  • Understand the design and implementation of your unit
  • Define the verification scope
  • Develop the verification infrastructure
  • Verify the correctness of the design
  • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks

Skills

UVM
SystemVerilog
VCS
Debussy
GDB
Perl
C++
Functional Coverage
Assertions
ASIC Verification
Random Stimulus

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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